- getAccelerator() - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform accelerator (optional).
- getAcceleratorType() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- getAcceleratorType() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- getAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- getAccept() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- getAccessStatus() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
Indicates whether the current user has access to the RStudioServerPro app.
- getActionArn() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The Amazon Resource Name (ARN) of the action.
- getActionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateActionResult
-
The Amazon Resource Name (ARN) of the action.
- getActionArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteActionResult
-
The Amazon Resource Name (ARN) of the action.
- getActionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the action.
- getActionArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionResult
-
The Amazon Resource Name (ARN) of the action.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The name of the action.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The name of the action.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteActionRequest
-
The name of the action to delete.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionRequest
-
The name of the action to describe.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The name of the action.
- getActionName() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The name of the action to update.
- getActions() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A list of alert actions taken in response to an alert going into InAlert status.
- getActionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A list of actions and their properties.
- getActionType() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The type of the action.
- getActionType() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The action type.
- getActionType() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The type of the action.
- getActionType() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions of the specified type.
- getActiveDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version, a heart beat, and are currently running.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- getAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- getAdditionalCodeRepositoryEquals() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- getAdditionalInferenceSpecifications() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
An array of additional Inference Specification objects.
- getAdditionalInferenceSpecifications() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
An array of additional Inference Specification objects.
- getAdditionalInferenceSpecifications() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
An array of additional Inference Specification objects.
- getAdditionalInferenceSpecificationsToAdd() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
An array of additional Inference Specification objects to be added to the existing array additional Inference
Specification.
- getAgentCount() - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
The number of Edge Manager agents.
- getAgentVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Edge Manager agent version.
- getAgentVersion() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Edge Manager agent version.
- getAgentVersions() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The versions of Edge Manager agent deployed on the fleet.
- getAggregation() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the aggregation method for a column, where the key is the column name and the value is
the aggregation method.
- getAlarmName() - Method in class com.amazonaws.services.sagemaker.model.Alarm
-
The name of a CloudWatch alarm in your account.
- getAlarms() - Method in class com.amazonaws.services.sagemaker.model.AutoRollbackConfig
-
List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint.
- getAlertStatus() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The current alert status of an alert.
- getAlertStatus() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The current status of an alert.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- getAlgorithmArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- getAlgorithmDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- getAlgorithmName() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- getAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train the model candidates.
- getAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.CandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- getAlgorithmStatus() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- getAlgorithmStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- getAlgorithmStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- getAlgorithmSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- getAlias() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The alias of the image to delete.
- getAlias() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The alias of the image version.
- getAlias() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The alias of the image version.
- getAlias() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The alias of the image version.
- getAliases() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A list of aliases created with the image version.
- getAliasesToAdd() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to add.
- getAliasesToDelete() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to delete.
- getAllocationStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The strategy that determines the order of preference for resources specified in InstanceConfigs used
in hyperparameter optimization.
- getAmazonForecastRoleArn() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
The IAM role that Canvas passes to Amazon Forecast for time series forecasting.
- getAmountInUsd() - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
- getAnnotationConsolidationConfig() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- getAnnotationConsolidationLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for
annotation
consolidation and to process output data.
- getAnnotationConsolidationLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- getAppArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAppResult
-
The Amazon Resource Name (ARN) of the app.
- getAppArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The Amazon Resource Name (ARN) of the app.
- getAppImageConfigArn() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- getAppImageConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- getAppImageConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- getAppImageConfigArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigResult
-
The Amazon Resource Name (ARN) for the AppImageConfig.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The name of the AppImageConfig.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The name of the AppImageConfig.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the AppImageConfig.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppImageConfigRequest
-
The name of the AppImageConfig to delete.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigRequest
-
The name of the AppImageConfig to describe.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The name of the AppImageConfig.
- getAppImageConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The name of the AppImageConfig to update.
- getAppImageConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A list of AppImageConfigs and their properties.
- getAppManaged() - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
When True, input operations such as data download are managed natively by the processing job
application.
- getAppManaged() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
When True, output operations such as data upload are managed natively by the processing job
application.
- getAppName() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the app.
- getAppName() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the app.
- getAppName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the app.
- getAppName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the app.
- getAppName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the app.
- getAppNetworkAccessType() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Specifies the VPC used for non-EFS traffic.
- getAppNetworkAccessType() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Specifies the VPC used for non-EFS traffic.
- getApprovalDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A description provided for the model approval.
- getApprovalDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A description provided when the model approval is set.
- getApprovalDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
A description for the approval status of the model.
- getApps() - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
The list of apps.
- getAppSecurityGroupManagement() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- getAppSecurityGroupManagement() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- getAppSecurityGroupManagement() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- getAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Configures the processing job to run a specified Docker container image.
- getAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Configures the processing job to run a specified container image.
- getAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getAppType() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The type of app.
- getAppType() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The type of app.
- getAppType() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The type of app.
- getAppType() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The type of app.
- getAppType() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The type of app.
- getAppTypeEquals() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A parameter to search for the App Type to which the Lifecycle Configuration is attached.
- getArch() - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform architecture.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the inference experiment being described.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The Amazon Resource Name (ARN) of the IAM identity.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.ModelStepMetadata
-
The Amazon Resource Name (ARN) of the created model.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobStepMetadata
-
The Amazon Resource Name (ARN) of the processing job.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.RegisterModelStepMetadata
-
The Amazon Resource Name (ARN) of the model package.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJobStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.TuningJobStepMetaData
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- getArn() - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The Amazon Resource Name (ARN) of the lineage entity resource.
- getArtifact() - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The Amazon Resource Name (ARN) of the generated deployable resource.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The Amazon Resource Name (ARN) of the artifact.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to delete.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to describe.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to update.
- getArtifactArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- getArtifactDigest() - Method in class com.amazonaws.services.sagemaker.model.ModelDigests
-
Provides a hash value that uniquely identifies the stored model artifacts.
- getArtifactName() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The name of the artifact.
- getArtifactName() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The name of the artifact.
- getArtifactName() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The name of the artifact.
- getArtifactName() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new name for the artifact.
- getArtifactSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A list of artifacts and their properties.
- getArtifactType() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The type of the artifact.
- getArtifactType() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The artifact type.
- getArtifactType() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The type of the artifact.
- getArtifactType() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts of the specified type.
- getAssembleWith() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- getAssociationSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A list of associations and their properties.
- getAssociationType() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The type of association.
- getAssociationType() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The type of the association.
- getAssociationType() - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The type of the Association(Edge) between the source and destination.
- getAssociationType() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations of the specified type.
- getAsyncInferenceConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Specifies configuration for how an endpoint performs asynchronous inference.
- getAsyncInferenceConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- getAsyncInferenceConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- getAthenaDatasetDefinition() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- getAttemptCount() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The current attempt of the execution step.
- getAttributeNames() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- getAuthMode() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The mode of authentication that members use to access the domain.
- getAuthMode() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's authentication mode.
- getAuthorizationEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- getAuthorizationEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- getAuthorizedUrl() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlResult
-
The presigned URL.
- getAuthorizedUrl() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- getAutoGenerateEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment;
set to False otherwise.
- getAutoMLAlgorithms() - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
- getAutoMLJob() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The ARN of the AutoML job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobResult
-
The unique ARN assigned to the AutoML job when it is created.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Result
-
The unique ARN assigned to the AutoMLJob when it is created.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the ARN of the AutoML job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the Amazon Resource Name (ARN) of the AutoML job V2.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of an AutoML job associated with this processing job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of an AutoML job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the AutoML transform job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the job.
- getAutoMLJobArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
- getAutoMLJobArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns information on the job's artifacts found in AutoMLJobArtifacts.
- getAutoMLJobArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
- getAutoMLJobConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
A collection of settings used to configure an AutoML job.
- getAutoMLJobConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the configuration for the AutoML job.
- getAutoMLJobInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of channel objects describing the input data and their location.
- getAutoMLJobInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns an array of channel objects describing the input data and their location.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The name of the AutoML job you are requesting.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Identifies an Autopilot job.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Identifies an Autopilot job.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobRequest
-
Requests information about an AutoML job using its unique name.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the name of the AutoML job.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Request
-
Requests information about an AutoML job V2 using its unique name.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the AutoML job V2.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates created for the job by providing the job's name.
- getAutoMLJobName() - Method in class com.amazonaws.services.sagemaker.model.StopAutoMLJobRequest
-
The name of the object you are requesting.
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies a metric to minimize or maximize as the objective of a job.
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies a metric to minimize or maximize as the objective of a job.
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's objective.
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's objective.
- getAutoMLJobObjective() - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- getAutoMLJobSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The secondary status of the AutoML job.
- getAutoMLJobSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the secondary status of the AutoML job.
- getAutoMLJobSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the secondary status of the AutoML job V2.
- getAutoMLJobStatus() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The status of the AutoML job.
- getAutoMLJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the status of the AutoML job.
- getAutoMLJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the status of the AutoML job V2.
- getAutoMLJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
Returns a summary list of jobs.
- getAutoMLProblemTypeConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Defines the configuration settings of one of the supported problem types.
- getAutoMLProblemTypeConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of the problem type set for the AutoML job V2.
- getAutoMLProblemTypeConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the problem type configuration set for the AutoML job V2.
- getAutoMLProblemTypeResolvedAttributes() - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
Defines the resolved attributes specific to a problem type.
- getAutoParameters() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for
your tuning job.
- getAutoRollbackConfiguration() - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Automatic rollback configuration for handling endpoint deployment failures and recovery.
- getAutotune() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following
fields:
- getAutotune() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
- getAvg() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The average value of the metric.
- getAwsManagedHumanLoopRequestSource() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopRequestSource
-
Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source.
- getBacktestResults() - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window.
- getBaseImage() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The registry path of the container image to use as the starting point for this version.
- getBaseImage() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image on which this image version is based.
- getBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
- getBaselineUsedForDriftCheckConstraints() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of baseline constraints file to be used for the drift check.
- getBaselineUsedForDriftCheckConstraints() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline constraints file used for the drift check.
- getBaselineUsedForDriftCheckStatistics() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline statistics file used for the drift check.
- getBaseliningJobName() - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
The name of the job that performs baselining for the data quality monitoring job.
- getBaseliningJobName() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
The name of the baseline model bias job.
- getBaseliningJobName() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
The name of the baseline model explainability job.
- getBaseliningJobName() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- getBaseliningJobName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- getBatchDescribeModelPackageErrorMap() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing
the model package.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- getBatchStrategy() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- getBatchTransformInput() - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
Input object for the batch transform job.
- getBatchTransformInput() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Input object for the batch transform job.
- getBatchTransformInput() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
Input object for the batch transform job.
- getBatchTransformInput() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
Input object for the batch transform job.
- getBatchTransformInput() - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
Input object for the batch transform job.
- getBestCandidate() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest
InferenceLatency for
an experiment.
- getBestCandidate() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Information about the candidate produced by an AutoML training job V2, including its status, steps, and other
properties.
- getBestObjectiveNotImproving() - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to stop your hyperparameter tuning job if model performance fails to improve as evaluated against an
objective function.
- getBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getBias() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
- getBias() - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure bais in a model.
- getBillableTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The billable time in seconds.
- getBillableTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The billable time in seconds.
- getBlockedReason() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
The justification for why the OfflineStoreStatus is Blocked (if applicable).
- getBlueGreenUpdatePolicy() - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Update policy for a blue/green deployment.
- getBranch() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- getBucket() - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Name of the S3 bucket.
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
- getCachedResponseMetadata(AmazonWebServiceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Returns additional metadata for a previously executed successful, request, typically used for debugging issues
where a service isn't acting as expected.
- getCacheHitResult() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
If this pipeline execution step was cached, details on the cache hit.
- getCalculatedBaselineConstraints() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- getCalculatedBaselineConstraints() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- getCalculatedBaselineStatistics() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline statistics file.
- getCallback() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output
parameters.
- getCallbackToken() - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The pipeline generated token from the Amazon SQS queue.
- getCallbackToken() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
The pipeline generated token from the Amazon SQS queue.
- getCallbackToken() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
The pipeline generated token from the Amazon SQS queue.
- getCanarySize() - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for the first step to turn on traffic on the new endpoint fleet.
- getCandidateArtifactLocations() - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
- getCandidateDefinitionNotebookLocation() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- getCandidateGenerationConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for generating a candidate for an AutoML job (optional).
- getCandidateGenerationConfig() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The configuration information of how model candidates are generated.
- getCandidateMetrics() - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
Information about the candidate metrics for an AutoML job.
- getCandidateName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The name of the candidate.
- getCandidateNameEquals() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by candidate name.
- getCandidateProperties() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The properties of an AutoML candidate job.
- getCandidates() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
Summaries about the AutoMLCandidates.
- getCandidateStatus() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The candidate's status.
- getCandidateStepArn() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The ARN for the candidate's step.
- getCandidateStepName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The name for the candidate's step.
- getCandidateSteps() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the candidate's steps.
- getCandidateStepType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
Whether the candidate is at the transform, training, or processing step.
- getCanvasAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Canvas app settings.
- getCaptureContentTypeHeader() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Configuration specifying how to treat different headers.
- getCaptureMode() - Method in class com.amazonaws.services.sagemaker.model.CaptureOption
-
Specify the boundary of data to capture.
- getCaptureOptions() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Specifies data Model Monitor will capture.
- getCaptureStatus() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is currently functional.
- getCatalog() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getCatalog() - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table catalog.
- getCategoricalParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameterRanges
-
Specified a list of parameters for each category.
- getCategoricalParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter
tuning job searches.
- getCategoricalParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- getCents() - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on Amazon Web Services Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on Amazon Web Services Marketplace.
- getCertifyForMarketplace() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace.
- getChannelName() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- getChannelType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The channel type (optional) is an enum string.
- getChannelType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The type of channel.
- getCheckJobArn() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.
- getCheckJobArn() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
- getCheckpointConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Contains information about the output location for managed spot training checkpoint data.
- getCheckpointConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- getCheckpointConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getCheckpointConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- getCheckType() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The type of the Clarify Check step
- getCheckType() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The type of the Quality check step.
- getCidrs() - Method in class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
- getClarifyCheck() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
Container for the metadata for a Clarify check step.
- getClarifyExplainerConfig() - Method in class com.amazonaws.services.sagemaker.model.ExplainerConfig
-
A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify
explainer.
- getClientConfig() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous
inference.
- getClientId() - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
The client ID for your Amazon Cognito user pool.
- getClientId() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- getClientId() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client ID used to configure your private workforce.
- getClientId() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP client ID used to configure your private workforce.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientRequestToken() - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- getClientSecret() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client secret used to configure your private workforce.
- getClientToken() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A unique ID.
- getClientToken() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A unique token that guarantees that the call to this API is idempotent.
- getClusterConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringResources
-
The configuration for the cluster resources used to run the processing job.
- getClusterConfig() - Method in class com.amazonaws.services.sagemaker.model.ProcessingResources
-
The configuration for the resources in a cluster used to run the processing job.
- getClusterId() - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster.
- getClusterId() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getClusterRoleArn() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
- getCode() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- getCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer
application.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- getCodeRepositoryArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- getCodeRepositoryName() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- getCodeRepositorySummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- getCognitoConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure an Amazon Cognito private workforce.
- getCognitoConfig() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an Amazon Cognito workforce.
- getCognitoMemberDefinition() - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- getCollectionConfigurations() - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for Amazon SageMaker Debugger tensor collections.
- getCollectionName() - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
The name of the tensor collection.
- getCollectionParameters() - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
Parameter values for the tensor collection.
- getCommitId() - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The commit ID.
- getCompilationEndTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- getCompilationEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- getCompilationJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the SageMaker Neo compilation job.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The name of the compilation job used to create the recommended model artifacts.
- getCompilationJobName() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- getCompilationJobStatus() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- getCompilationJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- getCompilationJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- getCompilationStartTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- getCompilationStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- getCompilationTargetDevice() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after the compilation job has completed.
- getCompilationTargetPlatformAccelerator() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of accelerator that the model will run on after the compilation job has completed.
- getCompilationTargetPlatformArch() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of architecture that the model will run on after the compilation job has completed.
- getCompilationTargetPlatformOs() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of OS that the model will run on after the compilation job has completed.
- getCompiledOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
Provides information about the output configuration for the compiled model.
- getCompilerOptions() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Specifies additional parameters for compiler options in JSON format.
- getCompleted() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- getCompleteOnConvergence() - Method in class com.amazonaws.services.sagemaker.model.ConvergenceDetected
-
A flag to stop a tuning job once AMT has detected that the job has converged.
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.ImageClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- getCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
- getCompletionTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which the inference experiment was completed.
- getCompletionTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job completed.
- getCompletionTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was completed.
- getCompletionTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job completed.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
You can use Gzip or None.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The allowed compression types depend on the input format and problem type.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The model output compression type.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies how the ML model data is prepared.
- getCompressionType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- getCondition() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The outcome of the condition evaluation that was run by this step execution.
- getConfigFile() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The bias config file for a model.
- getConfigFile() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The explainability config file for the model.
- getConfigUri() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
JSON formatted S3 file that defines bias parameters.
- getConfigUri() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
JSON formatted S3 file that defines explainability parameters.
- getConnectedDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of devices connected with a heartbeat.
- getConnectedDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and have a heart beat.
- getConstraints() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The drift check explainability constraints.
- getConstraints() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality constraints.
- getConstraints() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality constraints.
- getConstraints() - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality constraints for a model.
- getConstraints() - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality constraints.
- getConstraintsResource() - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- getConstraintsResource() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
- getConstraintsResource() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
- getConstraintsResource() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
- getConstraintsResource() - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
- getConsumedResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getConsumedResources() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The total amount of resources consumed by a hyperparameter tuning job.
- getContainerArguments() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The arguments for a container used to run a training job.
- getContainerArguments() - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The arguments for a container used to run a processing job.
- getContainerArguments() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The arguments to send to the container that the monitoring job runs.
- getContainerArguments() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- getContainerArguments() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- getContainerConfig() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies mandatory fields for running an Inference Recommender job.
- getContainerEntrypoint() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- getContainerEntrypoint() - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The entrypoint for a container used to run a processing job.
- getContainerEntrypoint() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The entrypoint for a container used to run a monitoring job.
- getContainerEntrypoint() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Specifies the entrypoint for a container that the monitoring job runs.
- getContainerEntrypoint() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
Specifies the entrypoint for a container used to run the monitoring job.
- getContainerHostname() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- getContainerHostname() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- getContainerImage() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image that contains this image version.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- getContainers() - Method in class com.amazonaws.services.sagemaker.model.Model
-
The containers in the inference pipeline.
- getContainerStartupHealthCheckTimeoutInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The content of the model card.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The content of the model card.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The content of the model card.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- getContent() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The updated model card content.
- getContentClassifiers() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- getContentColumn() - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the sentences to be classified.
- getContentDigest() - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The digest of the file source.
- getContentDigest() - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The hash key used for the metrics source.
- getContentSha256() - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The SHA-256 digest of the contents of the template.
- getContentTemplate() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A template string used to format a JSON record into an acceptable model container input.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The content type of the data from the input source.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The content type of the data from the input source.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The type of content stored in the file source.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The metric source content type.
- getContentType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- getContextArn() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The Amazon Resource Name (ARN) of the context.
- getContextArn() - Method in class com.amazonaws.services.sagemaker.model.CreateContextResult
-
The Amazon Resource Name (ARN) of the context.
- getContextArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteContextResult
-
The Amazon Resource Name (ARN) of the context.
- getContextArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the context.
- getContextArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextResult
-
The Amazon Resource Name (ARN) of the context.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The name of the context.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The name of the context.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.DeleteContextRequest
-
The name of the context to delete.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextRequest
-
The name of the context to describe.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The name of the context.
- getContextName() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The name of the context to update.
- getContextSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A list of contexts and their properties.
- getContextType() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The type of the context.
- getContextType() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The context type.
- getContextType() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The type of the context.
- getContextType() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts of the specified type.
- getContinuousParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter
tuning job searches.
- getContinuousParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- getConvergenceDetected() - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to top your hyperparameter tuning job if automatic model tuning (AMT) has detected that your model has
converged as evaluated against your objective function.
- getConvergenceDetectedTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement
over time based on criteria developed over a wide range of diverse benchmarking tests.
- getCoreDumpConfig() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Specifies configuration for a core dump from the model container when the process crashes.
- getCostPerHour() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per hour for the instance.
- getCostPerInference() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per inference for the instance .
- getCount() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The number of samples used to generate the metric.
- getCpuUtilization() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected CPU utilization at maximum invocations per minute for the instance.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created after a certain point in time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created after a specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created after a specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created after the specified time.
- getCreatedAfter() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the create date.
- getCreatedAt() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was created.
- getCreatedAt() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was created.
- getCreateDate() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The date that the workforce is created.
- getCreateDate() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created before a certain point in time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created before a specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created before a specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created before the specified time.
- getCreatedBefore() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by created date.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who created the experiment.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who created the trial component.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who created the trial.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
Who created the experiment.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.Project
-
Who created the project.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who created the trial.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Who created the trial component.
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- getCreatedBy() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who created the trial component.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
When the association was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The creation time of the mortgage package summary.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the creation time of the AutoML job.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the creation time of the AutoML job V2.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The time that the data quality monitoring job definition was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the packaging job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when SageMaker created the FeatureGroup.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the feature was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The timestamp when the flow definition was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The date and time that hub content was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The timestamp when the human task user interface was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you created the inference experiment.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The creation time of lineage group.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The time at which the model bias job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The time at which the model explainability job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The time that the model group was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The time at which the model quality job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The time when the pipeline was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The time when the project was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The creation time of the Studio Lifecycle Configuration.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The time that the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The time a FeatureGroup was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
A timestamp indicating the time of creation time of the FeatureGroup.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The timestamp when SageMaker created the flow definition.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The date and time that the hub content was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
A timestamp when SageMaker created the human task user interface.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The creation time of the lineage group summary.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Model
-
A timestamp that indicates when the model was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The date and time that the model card version was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
A timestamp that indicates when the endpoint was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The time that the model package was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The time that the model group was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The time that the model group was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
A timestamp that indicates when the first alert transition occurred in an alert history.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time at which the monitoring job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The time that the monitoring job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The time that the monitoring schedule was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The creation time of the monitoring schedule.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The creation time of the pipeline.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The creation time of the pipeline execution.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The creation time of the pipeline.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp specifying when the project was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The time that the project was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The time the ResourceCatalog was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The creation time.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The creation time of the Studio Lifecycle Configuration.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A timestamp that shows when the transform Job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
When the trial was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
When the component was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was created.
- getCreationTime() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The creation time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where packaging job was created after specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created after this time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created after specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created after a specific date and time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions with a creation time greater than or equal to the specified
timestamp.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces with a creation time greater than or equal to the specified
timestamp.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created after this timestamp.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created after the time specified.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created after a specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created after a specific date and time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or after the specified time.
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- getCreationTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where the edge packaging job was created before specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created before this time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created before specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created before a specific date and time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions that were created before the specified timestamp.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces that were created before the specified timestamp.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created before this timestamp.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created before the time specified.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created before a specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created before a specific date and time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or before the specified time.
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- getCreationTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- getCrossAccountFilterOption() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A cross account filter option.
- getCrossAccountModelRegisterRoleArn() - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
The Amazon Resource Name (ARN) of the SageMaker model registry account.
- getCsv() - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The CSV dataset used in the monitoring job.
- getCsvContentTypes() - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as CSV and capture accordingly.
- getCurrentInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances associated with the variant.
- getCurrentInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- getCurrentSamplingPercentage() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The percentage of requests being captured by your Endpoint.
- getCurrentServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration for the endpoint.
- getCurrentServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration for the endpoint.
- getCurrentWeight() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The weight associated with the variant.
- getCurrentWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- getCustomerMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The metadata properties associated with the model package versions.
- getCustomerMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The metadata properties associated with the model package versions.
- getCustomerMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The metadata properties for the model package.
- getCustomerMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions.
- getCustomerMetadataPropertiesToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions to remove.
- getCustomImages() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- getCustomImages() - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
A list of custom SageMaker images that are configured to run as a RSession app.
- getCustomized() - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a customized metric.
- getDataAttributes() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- getDatabase() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getDatabase() - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table database.
- getDatabase() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configuration to control how SageMaker captures inference data.
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Configuration to control how SageMaker captures inference data.
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
- getDataCaptureConfig() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getDataCapturedDestinationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The Amazon S3 location being used to capture the data.
- getDataCatalogConfig() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
- getDataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
- getDataExplorationNotebookLocation() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- getDataInputConfig() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- getDataInputConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelInput
-
The input configuration object for the model.
- getDataInputConfig() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- getDatapointsToAlert() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- getDatapointsToAlert() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- getDataProcessing() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used to specify the data to be used for inference in a batch transform job and to associate
the data that is relevant to the prediction results in the output.
- getDataProcessing() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- getDataProcessing() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getDataQualityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies the container that runs the monitoring job.
- getDataQualityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
Information about the container that runs the data quality monitoring job.
- getDataQualityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Configures the constraints and baselines for the monitoring job.
- getDataQualityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The constraints and baselines for the data quality monitoring job definition.
- getDataQualityJobInput() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
A list of inputs for the monitoring job.
- getDataQualityJobInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The list of inputs for the data quality monitoring job.
- getDataQualityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- getDataQualityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- getDatasetDefinition() - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for a Dataset Definition input.
- getDatasetFormat() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The dataset format for your batch transform job.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The data source for an AutoML channel.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The data source for an AutoML channel (Required).
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- getDataSource() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- getDataSourceName() - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The name of the data source that you're connecting to.
- getDataSplitConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for splitting the input training dataset.
- getDataSplitConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
This structure specifies how to split the data into train and validation datasets.
- getDataSplitConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of how the data are split into train and validation datasets.
- getDataStorageConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- getDataStorageConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon S3 location and configuration for storing inference request and response data.
- getDataStorageConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- getDbUser() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getDebugHookConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- getDebugHookConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- getDebugHookConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- getDebugRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- getDebugRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- getDebugRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the debug rule configuration.
- getDebugRuleEvaluationStatuses() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
- getDebugRuleEvaluationStatuses() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the evaluation status of the rules for the training job.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- getDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- getDefaultCodeRepositoryContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- getDefaultGid() - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX group ID (GID).
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
JupyterServer app.
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
KernelGateway app.
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
- getDefaultResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.TensorBoardAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- getDefaultSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings used to create a space.
- getDefaultSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The default settings used to create a space.
- getDefaultSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The default settings used to create a space within the Domain.
- getDefaultUid() - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX user ID (UID).
- getDefaultUserSettings() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings to use to create a user profile when UserSettings isn't specified in the call
to the CreateUserProfile API.
- getDefaultUserSettings() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given
UserProfile.
- getDefaultUserSettings() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of settings.
- getDefaultValue() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- getDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The job definition name.
- getDeleteProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
A list of properties to delete.
- getDependencyCopyPath() - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency copy path.
- getDependencyOriginPath() - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency origin path.
- getDeployedImages() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- getDeployedImages() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- getDeployedStageName() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the deployed stage.
- getDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
- getDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the deployment details.
- getDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the deployment details.
- getDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
- getDeploymentRecommendation() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A set of recommended deployment configurations for the model.
- getDeploymentRecommendation() - Method in class com.amazonaws.services.sagemaker.model.Model
-
A set of recommended deployment configurations for the model.
- getDeploymentStartTime() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The time when the deployment on the device started.
- getDeploymentStatus() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
General status of the current state.
- getDerivedDataInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DerivedInformation
-
The data input configuration that SageMaker Neo automatically derived for the model.
- getDerivedInformation() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information that SageMaker Neo automatically derived about the model.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A description of the additional Inference specification
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The description of the action.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The description of the context.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
A description of the fleet.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The description of the experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A free-form description of a FeatureGroup.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The description of the image.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
A description for the inference experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The description of the action.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The description of the context.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
A description of the fleet.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
A description of the device.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The description of the experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A free form description of the feature group.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The description you added to describe the feature.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The description of the image.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The description of the inference experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The description of the lineage group.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.Device
-
Description of the device.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The description of the device.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
A description of the device.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The description of the experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A free form description of a FeatureGroup.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
An optional description that you specify to better describe the feature.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Description of the fleet.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.Image
-
The description of the image.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The description of the inference experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
A free form description of the ResourceCatalog.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new description for the action.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new description for the context.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Description of the fleet.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The description of the experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A description that you can write to better describe the feature.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new description for the image.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The description of the inference experiment.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- getDescription() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- getDesiredInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- getDesiredInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances requested in this deployment, as specified in the endpoint configuration for the
endpoint.
- getDesiredInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- getDesiredModelVariants() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- getDesiredServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration requested for this deployment, as specified in the endpoint configuration for the
endpoint.
- getDesiredServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration requested for the endpoint update.
- getDesiredState() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The desired state of the experiment after stopping.
- getDesiredWeight() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- getDesiredWeight() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The requested weight for the variant in this deployment, as specified in the endpoint configuration for the
endpoint.
- getDesiredWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- getDesiredWeightsAndCapacities() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- getDestination() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon S3 bucket where the inference request and response data is stored.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The Amazon Resource Name (ARN) of the destination.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
- getDestinationArn() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
- getDestinationName() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the destination.
- getDestinationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon S3 location being used to capture the data.
- getDestinationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon S3 location used to capture the data.
- getDestinationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The Amazon S3 location being used to capture the data.
- getDestinationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon S3 bucket to send the core dump to.
- getDestinationType() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The destination type.
- getDestinationType() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination type.
- getDeviceArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Resource Name (ARN) of the device.
- getDeviceArn() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the device.
- getDeviceArn() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Amazon Resource Name (ARN) of the device.
- getDeviceDeploymentStatus() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The deployment status of the device.
- getDeviceDeploymentStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The detailed error message for the deployoment status result.
- getDeviceDeploymentSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
List of summaries of devices allocated to the stage.
- getDeviceFleetArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The The Amazon Resource Name (ARN) of the fleet.
- getDeviceFleetArn() - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Amazon Resource Name (ARN) of the device fleet.
- getDeviceFleetArn() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The Amazon Resource Name (ARN) of the device.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The name of the fleet that the device belongs to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The device fleet used for this edge deployment plan.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DeleteDeviceFleetRequest
-
The name of the fleet to delete.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The name of the fleet the devices belong to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetRequest
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The name of the fleet the devices belong to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The name of the fleet the device belongs to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The device fleet used for this edge deployment plan.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the fleet to which the device belongs to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Name of the device fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The name of the fleet the device belongs to.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the device fleet used for the deployment.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportRequest
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Filter for fleets containing this name in their device fleet name.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The name of the fleet.
- getDeviceFleetName() - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
The name of the fleet the devices belong to.
- getDeviceFleetNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with a device fleet name containing this name.
- getDeviceFleetReport(GetDeviceFleetReportRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getDeviceFleetReport(GetDeviceFleetReportRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Describes a fleet.
- getDeviceFleetReport(GetDeviceFleetReportRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Describes a fleet.
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest, AsyncHandler<GetDeviceFleetReportRequest, GetDeviceFleetReportResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Describes a fleet.
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest, AsyncHandler<GetDeviceFleetReportRequest, GetDeviceFleetReportResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Describes a fleet.
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getDeviceFleetReportAsync(GetDeviceFleetReportRequest, AsyncHandler<GetDeviceFleetReportRequest, GetDeviceFleetReportResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetDeviceFleetReportRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetDeviceFleetReportRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportRequest
-
- GetDeviceFleetReportResult - Class in com.amazonaws.services.sagemaker.model
-
- GetDeviceFleetReportResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
- getDeviceFleetSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
Summary of the device fleet.
- getDeviceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The unique ID of the device.
- getDeviceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The unique identifier of the device.
- getDeviceName() - Method in class com.amazonaws.services.sagemaker.model.Device
-
The name of the device.
- getDeviceName() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the device.
- getDeviceName() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The unique identifier of the device.
- getDeviceNameContains() - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
A filter to select devices with names containing this name.
- getDeviceNames() - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The unique IDs of the devices.
- getDeviceNames() - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
List of devices chosen to deploy.
- getDevices() - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
A list of devices to register with SageMaker Edge Manager.
- getDevices() - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
List of devices to register with Edge Manager agent.
- getDeviceSelectionConfig() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the devices in the stage.
- getDeviceSelectionConfig() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the devices in the stage.
- getDeviceStats() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of devices.
- getDeviceSubsetType() - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Type of device subsets to deploy to the current stage.
- getDeviceSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
Summary of devices.
- getDirectInternetAccess() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether SageMaker provides internet access to the notebook instance.
- getDirectInternetAccess() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether SageMaker provides internet access to the notebook instance.
- getDirection() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Associations between lineage entities have a direction.
- getDirectoryPath() - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The full path to the directory to associate with the channel.
- getDisableGlueTableCreation() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring
an OfflineStore.
- getDisableProfiler() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality.
- getDisableProfiler() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to
True.
- getDisassociateAcceleratorTypes() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- getDisassociateAdditionalCodeRepositories() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- getDisassociateDefaultCodeRepository() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- getDisassociateLifecycleConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The display name of the image.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The display name of the lineage group.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the component as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The display name of the kernel.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The display name of the lineage group summary.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the component as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the component as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new display name for the image.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component as displayed.
- getDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial as displayed.
- getDocumentSchemaVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The document schema version for the hub content.
- getDocumentSchemaVersion() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content document schema.
- getDocumentSchemaVersion() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content schema to import.
- getDollars() - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- getDomain() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning domain of your model package and its components.
- getDomain() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning domain of the model package you specified.
- getDomain() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning domain of the model.
- getDomain() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning domain of your model package and its components.
- getDomain() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning domain of the model and its components.
- getDomainArn() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The Amazon Resource Name (ARN) of the created domain.
- getDomainArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's Amazon Resource Name (ARN).
- getDomainArn() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's Amazon Resource Name (ARN).
- getDomainArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainResult
-
The Amazon Resource Name (ARN) of the domain.
- getDomainExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
The ARN of the execution role for the RStudioServerPro Domain-level app.
- getDomainExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
The execution role for the RStudioServerPro Domain-level app.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the domain that contains the profile.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The ID of the domain to be updated.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The ID of the associated Domain.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The domain ID.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The domain associated with the user.
- getDomainId() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The domain ID.
- getDomainIdEquals() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search for the domain ID.
- getDomainIdEquals() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter to search for the Domain ID.
- getDomainIdEquals() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- getDomainName() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A name for the domain.
- getDomainName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain name.
- getDomainName() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain name.
- getDomains() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
The list of domains.
- getDomainSettings() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A collection of Domain settings.
- getDomainSettings() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
A collection of Domain settings.
- getDomainSettingsForUpdate() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of DomainSettings configuration values to update.
- getDriftCheckBaselines() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- getDriftCheckBaselines() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- getDriftCheckBaselines() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- getDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how long a traffic phase should be.
- getDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Defines how long each traffic step should be.
- getDynamicScalingConfiguration() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with the recommended values for you to specify when creating an autoscaling policy.
- getEdgeDeploymentFailed() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices that failed the deployment.
- getEdgeDeploymentFailed() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices that failed the deployment.
- getEdgeDeploymentFailedInStage() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices that failed the deployment in current stage.
- getEdgeDeploymentPending() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices yet to pick up deployment, or in progress.
- getEdgeDeploymentPending() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices yet to pick up the deployment, or in progress.
- getEdgeDeploymentPendingInStage() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices yet to pick up the deployment in current stage, or in progress.
- getEdgeDeploymentPlanArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanResult
-
The ARN of the edge deployment plan.
- getEdgeDeploymentPlanArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The ARN of edge deployment plan.
- getEdgeDeploymentPlanArn() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the edge deployment plan.
- getEdgeDeploymentPlanArn() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The ARN of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentPlanRequest
-
The name of the edge deployment plan to delete.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the edge deployment plan from which the stage will be deleted.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The name of the deployment plan to describe.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the edge deployment plan.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the edge deployment plan to start.
- getEdgeDeploymentPlanName() - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the edge deployment plan to stop.
- getEdgeDeploymentPlanSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
List of summaries of edge deployment plans.
- getEdgeDeploymentStageStartTime() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The time when the deployment API started.
- getEdgeDeploymentStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
A detailed message about deployment status in current stage.
- getEdgeDeploymentSuccess() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices with the successful deployment.
- getEdgeDeploymentSuccess() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices with the successful deployment.
- getEdgeDeploymentSuccessInStage() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices with the successful deployment in the current stage.
- getEdgePackagingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of the edge packaging job.
- getEdgePackagingJobArn() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The Amazon Resource Name (ARN) of the edge packaging job.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the edge packaging job.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobRequest
-
The name of the edge packaging job.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the edge packaging job.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The edge packaging job associated with this deployment.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the edge packaging job.
- getEdgePackagingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobRequest
-
The name of the edge packaging job.
- getEdgePackagingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The current status of the packaging job.
- getEdgePackagingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The status of the edge packaging job.
- getEdgePackagingJobStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
Returns a message describing the job status and error messages.
- getEdgePackagingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Summaries of edge packaging jobs.
- getEdges() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of edges that connect vertices in the response.
- getEMR() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of an Amazon EMR step execution.
- getEnableCapture() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Whether data capture should be enabled or disabled (defaults to enabled).
- getEnableCapture() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is enabled or disabled.
- getEnabled() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardIndicatorAction
-
Indicates whether the alert action is turned on.
- getEnableExplanations() - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
A JMESPath boolean expression used to filter which records to explain.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
Whether to use traffic encryption between the container layers.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to encrypt all communications between the instances used for the monitoring jobs.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to encrypt all communications between distributed processing jobs.
- getEnableInterContainerTrafficEncryption() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- getEnableIotRoleAlias() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- getEnableIotRoleAlias() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- getEnableManagedSpotTraining() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To train models using managed spot training, choose True.
- getEnableManagedSpotTraining() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- getEnableManagedSpotTraining() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- getEnableManagedSpotTraining() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of
on-demand instances.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.Model
-
Isolates the model container.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- getEnableNetworkIsolation() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- getEnableOnlineStore() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Turn OnlineStore off by specifying False for the EnableOnlineStore flag.
- getEnableSageMakerMetricsTimeSeries() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
To generate and save time-series metrics during training, set to true.
- getEnableSSMAccess() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production
variant behind an endpoint.
- getEndpoint() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- getEndpointArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigArn() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the SageMaker endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The endpoint configuration associated with the endpoint.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint configuration.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The name of the endpoint configuration used in the deployment.
- getEndpointConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- getEndpointConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- getEndpointConfiguration() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the endpoint configuration parameters.
- getEndpointConfiguration() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- getEndpointConfigurations() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the endpoint configuration to use for a job.
- getEndpointInfo() - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
- getEndpointInput() - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
- getEndpointInput() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
- getEndpointInput() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
- getEndpointInput() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
- getEndpointInput() - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
The endpoint for a monitoring job.
- getEndpointMetadata() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The metadata of the endpoint on which the inference experiment ran.
- getEndpointMetrics() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services
account.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The name of the endpoint for the monitoring job.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointInfo
-
The name of a customer's endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
An endpoint in customer's account which has enabled DataCaptureConfig enabled.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the endpoint made during a recommendation job.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of an endpoint benchmarked during a previously completed inference recommendation job.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of an endpoint benchmarked during a previously completed Inference Recommender job.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that lists the data quality job definitions associated with the specified endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Name of the endpoint to monitor for model bias.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Name of the endpoint to monitor for model explainability.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions that are associated with the specified
endpoint.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific endpoint to fetch jobs for.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Name of a specific endpoint to fetch schedules for.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint name.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The endpoint which is monitored.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not
generated automatically.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.ModelDeployResult
-
The name of the endpoint to which the model has been deployed.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the endpoint used to run the monitoring job.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the endpoint that the job monitors.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The endpoint that hosts the model being monitored.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the endpoint using the monitoring schedule.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- getEndpointName() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing SageMaker endpoint.
- getEndpointPerformances() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The performance results from running an Inference Recommender job on an existing endpoint.
- getEndpoints() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- getEndpoints() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The endpoints that host a model.
- getEndpoints() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Existing customer endpoints on which to run an Inference Recommender job.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The status of the endpoint.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The status of the endpoint.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- getEndpointStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint status.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The end time.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The end time of an AutoML job.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component ended.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the end time of the AutoML job.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the end time of the AutoML job V2.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component ended.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment ended or will end.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step stopped executing.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component ended.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component ended.
- getEndTime() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component ended.
- getEndTimeOffset() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs subtract this time from the end time.
- getEndTimeOffset() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the end time.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The environment variables to set in the container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The environment variables set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
Sets the environment variables in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
Sets the environment variables in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Sets the environment variables in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
Sets the environment variables in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended environment variables to set in the model container for Real-Time Inference.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The environment variables to set in the Docker container.
- getEnvironment() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- getEnvironmentParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The parameter you want to benchmark against.
- getEnvironmentParameters() - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
Defines the environment parameters that includes key, value types, and values.
- getErrorCode() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- getErrorMessage() - Method in class com.amazonaws.services.sagemaker.model.FailStepMetadata
-
A message that you define and then is processed and rendered by the Fail step when the error occurs.
- getErrorResponse() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- getErrors() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- getErrorTopic() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference fails.
- getEvaluationPeriod() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The number of most recent monitoring executions to consider when evaluating alert status.
- getEvaluationPeriod() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The number of most recent monitoring executions to consider when evaluating alert status.
- getEventTimeFeatureName() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the feature that stores the EventTime of a Record in a
FeatureGroup.
- getEventTimeFeatureName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- getEventTimeFeatureName() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- getExcludeDevicesDeployedInOtherStage() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
Toggle for excluding devices deployed in other stages.
- getExcludeRetainedVariantProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When you are updating endpoint resources with
RetainAllVariantProperties, whose value is set to
true,
ExcludeRetainedVariantProperties specifies the list of type
VariantProperty to
override with the values provided by
EndpointConfig.
- getExecutionRole() - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The ARN of the execution role for the space.
- getExecutionRole() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The execution role for the user.
- getExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker
image for deployment on ML compute instances or for batch transform jobs.
- getExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- getExecutionRoleArn() - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- getExecutionRoleIdentityConfig() - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- getExecutionRoleIdentityConfig() - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- getExecutorService() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
Returns the executor service used by this client to execute async requests.
- getExitMessage() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- getExitMessage() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains metadata from the processing container when the processing job
exits.
- getExitMessage() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- getExperiment() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of an experiment.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentResult
-
The Amazon Resource Name (ARN) of the experiment that is being deleted.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The Amazon Resource Name (ARN) of the experiment.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The Amazon Resource Name (ARN) of the experiment.
- getExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The configuration information used to create an experiment.
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- getExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the experiment to associate the trial with.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentRequest
-
The name of the experiment to delete.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentRequest
-
The name of the experiment to describe.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the experiment the trial is part of.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing experiment to associate with the trial component.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are part of the specified experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the experiment.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the experiment the trial is part of.
- getExperimentName() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment to update.
- getExperimentSource() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
- getExperimentSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A list of the summaries of your experiments.
- getExpiresInSeconds() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The number of seconds until the pre-signed URL expires.
- getExplainability() - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
- getExplainability() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check explainability baselines that can be used when the model monitor is set using the
model package.
- getExplainability() - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that help explain a model.
- getExplainerConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A member of CreateEndpointConfig that enables explainers.
- getExplainerConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The configuration parameters for an explainer.
- getExplainerConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The configuration parameters for an explainer.
- getExportArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The exported model card artifacts.
- getFail() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of a Fail step execution.
- getFailed() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- getFailedNonRetryableError() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- getFailureHandlingPolicy() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentConfig
-
Toggle that determines whether to rollback to previous configuration if the current deployment fails.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The failure reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The failure reason of an AutoML job.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The failure reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the failure reason for an AutoML job, when applicable.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the reason for the failure of the AutoML job V2, when applicable.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The failure reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The reason your flow definition failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The failure reason if importing hub content failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The failure reason if importing hub content failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When a create, update, or delete operation fails, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When a create or delete operation fails, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
If the job fails, provides information why the job failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The failure reason if the model export job fails.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
If the execution failed, a message describing why.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The failure reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The failure reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
If the endpoint failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
If the status of the endpoint is Failed, or the status is InService but update
operation fails, this provides the reason why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The reason why the flow definition creation failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The error that was created when a hyperparameter tuning job failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.Image
-
When a create, update, or delete operation fails, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When a create or delete operation fails, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
If the job fails, provides information why the job failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
If the update wasn't successful, indicates the reason why it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
If a monitoring job failed, provides the reason.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
Contains the reason a monitoring job failed, if it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
If the monitoring schedule failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
If the execution failed, a message describing why.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The reason why the step failed execution.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
The reason why a benchmark failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A message describing why the step failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
If the transform job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- getFailureReason() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The reason your workforce failed.
- getFeatureAdditions() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group.
- getFeatureDefinitions() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A list of Feature names and types.
- getFeatureDefinitions() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A list of the Features in the FeatureGroup.
- getFeatureDefinitions() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A list of Features.
- getFeatureGroup() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The Amazon Resource Number (ARN) of the feature group that contains the feature.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of a FeatureGroup.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Unique identifier for the FeatureGroup.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The Amazon Resource Number (ARN) of the feature group.
- getFeatureGroupArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupResult
-
The Amazon Resource Number (ARN) of the feature group that you're updating.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the FeatureGroup.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.DeleteFeatureGroupRequest
-
The name of the FeatureGroup you want to delete.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
he name of the FeatureGroup.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature group that you've specified.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the FeatureGroup.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The name of FeatureGroup.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of the feature group containing the feature.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.ProcessingFeatureStoreOutput
-
The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the feature group that you're updating.
- getFeatureGroupName() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature that you're updating.
- getFeatureGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the feature group.
- getFeatureGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A FeatureGroup status.
- getFeatureGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The status of a FeatureGroup.
- getFeatureGroupStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A FeatureGroup status.
- getFeatureGroupSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A summary of feature groups.
- getFeatureHeaders() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The names of the features.
- getFeatureMetadata() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The feature metadata used to search through the features.
- getFeatureName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name of the feature.
- getFeatureName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature that you've specified.
- getFeatureName() - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The name of a feature.
- getFeatureName() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of feature.
- getFeatureName() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name of the feature that you're updating.
- getFeaturesAttribute() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attributes of the input data that are the input features.
- getFeaturesAttribute() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
Provides the JMESPath expression to extract the features from a model container input in JSON Lines format.
- getFeaturesAttribute() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attributes of the input data that are the input features.
- getFeatureSpecificationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job.
- getFeatureSpecificationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job V2.
- getFeatureSpecificationS3Uri() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID,
timestamp, and grouped columns set in TimeSeriesConfig.
- getFeatureStoreOutput() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon SageMaker Feature Store.
- getFeatureType() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The data type of the feature.
- getFeatureType() - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The value type of a feature.
- getFeatureType() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The data type of the feature.
- getFeatureTypes() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A list of data types of the features (optional).
- getFileSystemAccessMode() - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The access mode of the mount of the directory associated with the channel.
- getFileSystemConfig() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
- getFileSystemDataSource() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The file system that is associated with a channel.
- getFileSystemId() - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system id.
- getFileSystemType() - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system type.
- getFilling() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the filling method for a column, where the key is the column name and the value is an
object which defines the filling logic.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSearchExpression
-
A list of filter objects.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A set of filtering parameters that allow you to specify which entities should be returned.
- getFilters() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- getFinalActiveLearningModelArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
- getFinalAutoMLJobObjectiveMetric() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
- getFinalHyperParameterTuningJobObjectiveMetric() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- getFinalMetricDataList() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- getFinalMetricDataList() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- getFlatInvocations() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has
reached capacity.
- getFlowDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition you create.
- getFlowDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow defintion.
- getFlowDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The Amazon Resource Name (ARN) of the flow definition.
- getFlowDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The name of your flow definition.
- getFlowDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteFlowDefinitionRequest
-
The name of the flow definition you are deleting.
- getFlowDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionRequest
-
The name of the flow definition.
- getFlowDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition.
- getFlowDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The name of the flow definition.
- getFlowDefinitionStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The status of the flow definition.
- getFlowDefinitionStatus() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The status of the flow definition.
- getFlowDefinitionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
An array of objects describing the flow definitions.
- getForecastFrequency() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The frequency of predictions in a forecast.
- getForecastHorizon() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The number of time-steps that the model predicts.
- getForecastQuantiles() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The quantiles used to train the model for forecasts at a specified quantile.
- getFramework() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- getFramework() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning framework of the model.
- getFramework() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The machine learning framework of the model package container image.
- getFramework() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning framework of the container image.
- getFrameworkVersion() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the framework version to use.
- getFrameworkVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The framework version of the model.
- getFrameworkVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The framework version of the Model Package Container Image.
- getFrameworkVersion() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The framework version of the container image.
- getGenerateCandidateDefinitionsOnly() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Generates possible candidates without training the models.
- getGenerateCandidateDefinitionsOnly() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the output for an AutoML job generates candidate definitions only.
- getGenerateCandidateDefinitionsOnly() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
Generates possible candidates without training the models.
- getGeneratedBy() - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The entity this entity was generated by.
- getGenerateInferenceId() - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
Flag that indicates whether to append inference id to the output.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the
credentials used to access the repository.
- getGitConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- getGranularity() - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
The unit of granularity for the analysis of text features.
- getGroundTruthS3Input() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Location of ground truth labels to use in model bias job.
- getGroundTruthS3Input() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
The ground truth label provided for the model.
- getGroupingAttributeNames() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
A set of columns names that can be grouped with the item identifier column to create a composite key for which a
target value is predicted.
- getGroups() - Method in class com.amazonaws.services.sagemaker.model.OidcMemberDefinition
-
A list of comma seperated strings that identifies user groups in your OIDC IdP.
- getHeader() - Method in class com.amazonaws.services.sagemaker.model.MonitoringCsvDatasetFormat
-
Indicates if the CSV data has a header.
- getHomeEfsFileSystem() - Method in class com.amazonaws.services.sagemaker.model.RetentionPolicy
-
The default is Retain, which specifies to keep the data stored on the EFS volume.
- getHomeEfsFileSystemId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Elastic File System (EFS) managed by this Domain.
- getHomeEfsFileSystemKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Deprecated.
- getHomeEfsFileSystemKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Deprecated.
- getHomeEfsFileSystemUid() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the space's profile in the Amazon Elastic File System volume.
- getHomeEfsFileSystemUid() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the user's profile in the Amazon Elastic File System (EFS) volume.
- getHookParameters() - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for the Amazon SageMaker Debugger hook parameters.
- getHorovod() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates Horovod compatibility.
- getHorovod() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates Horovod compatibility.
- getHorovod() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates Horovod compatibility.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.CreateHubResult
-
The Amazon Resource Name (ARN) of the hub.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub that contains the content.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon Resource Name (ARN) of the hub.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The Amazon Resource Name (ARN) of the hub.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub that the content was imported into.
- getHubArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubResult
-
The Amazon Resource Name (ARN) of the updated hub.
- getHubContentArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub content.
- getHubContentArn() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The Amazon Resource Name (ARN) of the hub content.
- getHubContentArn() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub content that was imported.
- getHubContentDependencies() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or
notebooks.
- getHubContentDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A description of the hub content.
- getHubContentDescription() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
A description of the hub content.
- getHubContentDescription() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A description of the hub content to import.
- getHubContentDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The display name of the hub content.
- getHubContentDisplayName() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The display name of the hub content.
- getHubContentDisplayName() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The display name of the hub content to import.
- getHubContentDocument() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- getHubContentDocument() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- getHubContentMarkdown() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A string that provides a description of the hub content.
- getHubContentMarkdown() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A string that provides a description of the hub content.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the content that you want to delete from a hub.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the content to describe.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub content.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The name of the hub content.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub content to import.
- getHubContentName() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub content.
- getHubContentSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The searchable keywords for the hub content.
- getHubContentSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The searchable keywords for the hub content.
- getHubContentSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The searchable keywords of the hub content.
- getHubContentStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The status of the hub content.
- getHubContentStatus() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The status of the hub content.
- getHubContentSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
The summaries of the listed hub content.
- getHubContentSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
The summaries of the listed hub content versions.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The type of content that you want to delete from a hub.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The type of content in the hub.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The type of hub content.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The type of hub content.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The type of hub content to import.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The type of hub content to list.
- getHubContentType() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The type of hub content to list versions of.
- getHubContentVersion() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The version of the content that you want to delete from a hub.
- getHubContentVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The version of the content to describe.
- getHubContentVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The version of the hub content.
- getHubContentVersion() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content.
- getHubContentVersion() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content to import.
- getHubDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
A description of the hub.
- getHubDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
A description of the hub.
- getHubDescription() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
A description of the hub.
- getHubDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
A description of the updated hub.
- getHubDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The display name of the hub.
- getHubDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The display name of the hub.
- getHubDisplayName() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The display name of the hub.
- getHubDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The display name of the hub.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The name of the hub to create.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the hub that you want to delete content in.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubRequest
-
The name of the hub to delete.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the hub that contains the content to describe.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub that contains the content.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubRequest
-
The name of the hub to describe.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The name of the hub.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The name of the hub.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub to import content into.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The name of the hub to list the contents of.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub to list the content versions of.
- getHubName() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The name of the hub to update.
- getHubSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The searchable keywords for the hub.
- getHubSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The searchable keywords for the hub.
- getHubSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The searchable keywords for the hub.
- getHubSearchKeywords() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The searchable keywords for the hub.
- getHubStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The status of the hub.
- getHubStatus() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The status of the hub.
- getHubSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
The summaries of the listed hubs.
- getHumanLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- getHumanLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- getHumanLoopActivationConditions() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConditionsConfig
-
JSON expressing use-case specific conditions declaratively.
- getHumanLoopActivationConditionsConfig() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConfig
-
Container structure for defining under what conditions SageMaker creates a human loop.
- getHumanLoopActivationConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the events that trigger a human workflow.
- getHumanLoopActivationConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about what triggers a human review workflow.
- getHumanLoopConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the tasks the human reviewers will perform.
- getHumanLoopConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about who works on the task, the workforce task price, and other task details.
- getHumanLoopRequestSource() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
Container for configuring the source of human task requests.
- getHumanLoopRequestSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
Container for configuring the source of human task requests.
- getHumanTaskConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords,
and batch size (task count).
- getHumanTaskConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human review workflow user interface you create.
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human task user interface (worker task template).
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The Amazon Resource Name (ARN) of the human task user interface.
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The Amazon Resource Name (ARN) of the human task user interface.
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The HumanTaskUiArn of the worker UI that you want to render.
- getHumanTaskUiArn() - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
- getHumanTaskUiName() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
The name of the user interface you are creating.
- getHumanTaskUiName() - Method in class com.amazonaws.services.sagemaker.model.DeleteHumanTaskUiRequest
-
The name of the human task user interface (work task template) you want to delete.
- getHumanTaskUiName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiRequest
-
The name of the human task user interface (worker task template) you want information about.
- getHumanTaskUiName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The name of the human task user interface (worker task template).
- getHumanTaskUiName() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The name of the human task user interface.
- getHumanTaskUiStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The status of the human task user interface (worker task template).
- getHumanTaskUiSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
An array of objects describing the human task user interfaces.
- getHyperbandStrategyConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyConfig
-
The configuration for the object that specifies the Hyperband strategy.
- getHyperParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- getHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- getHyperParameterTuningEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- getHyperParameterTuningEndTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job ended.
- getHyperParameterTuningEndTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- getHyperParameterTuningJob() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a hyperparameter tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
- getHyperParameterTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- getHyperParameterTuningJobConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- getHyperParameterTuningJobConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getHyperParameterTuningJobConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the hyperparameter tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The name of a hyperparameter tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- getHyperParameterTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- getHyperParameterTuningJobObjective() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- getHyperParameterTuningJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- getHyperParameterTuningJobStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The status of a hyperparameter tuning job.
- getHyperParameterTuningJobStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- getHyperParameterTuningJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- getHyperParameterTuningResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes,
used for training jobs launched by the tuning job.
- getIamIdentity() - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The IAM Identity details associated with the user.
- getIdentityProviderOAuthSettings() - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The settings for connecting to an external data source with OAuth.
- getImage() - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The Amazon Elastic Container Registry (Amazon ECR) path of the container.
- getImage() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The path where inference code is stored.
- getImage() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.CreateImageResult
-
The ARN of the image.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the image.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the image the version is based on.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.Image
-
The ARN of the image.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the image the version is based on.
- getImageArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageResult
-
The ARN of the image.
- getImageClassificationJobConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the image classification problem type.
- getImageConfig() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
- getImageDigest() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The name of the image.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The ImageName of the Image to create a version of.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the CustomImage.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageRequest
-
The name of the image to delete.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The name of the image to delete.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageRequest
-
The name of the image to describe.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The name of the image.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The name of the image.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The name of the image to list the versions of.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The name of the image to update.
- getImageName() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The name of the image.
- getImages() - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A list of images and their properties.
- getImageScanStatuses() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- getImageScanStatuses() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- getImageStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The status of the image.
- getImageStatus() - Method in class com.amazonaws.services.sagemaker.model.Image
-
The status of the image.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The container image to be run by the processing job.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The container image that the data quality monitoring job runs.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
The container image to be run by the model bias job.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
The container image to be run by the model explainability job.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The address of the container image that the monitoring job runs.
- getImageUri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
The container image to be run by the monitoring job.
- getImageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionResult
-
The ARN of the image version.
- getImageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the version.
- getImageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the version.
- getImageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionResult
-
The ARN of the image version.
- getImageVersionNumber() - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The version number of the CustomImage.
- getImageVersions() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A list of versions and their properties.
- getImageVersionStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The status of the version.
- getImageVersionStatus() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The status of the version.
- getIncludeEdges() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Setting this value to
True retrieves not only the entities of interest but also the
Associations and
lineage entities on the path.
- getIncludeInferenceResponseIn() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
The Amazon SNS topics where you want the inference response to be included.
- getInferenceAttribute() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attribute of the input data that represents the ground truth label.
- getInferenceAttribute() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attribute of the input data that represents the ground truth label.
- getInferenceBenchmark() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The details for a specific benchmark.
- getInferenceConfig() - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The inference configuration parameter for the model container.
- getInferenceContainerDefinitions() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the
candidate.
- getInferenceContainers() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the recommended inference container definitions.
- getInferenceExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies details of how containers in a multi-container endpoint are called.
- getInferenceExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Specifies details of how containers in a multi-container endpoint are called.
- getInferenceExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.Model
-
- getInferenceExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentResult
-
The ARN for your inference experiment.
- getInferenceExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentResult
-
The ARN of the deleted inference experiment.
- getInferenceExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentResult
-
The ARN of the started inference experiment to start.
- getInferenceExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentResult
-
The ARN of the stopped inference experiment.
- getInferenceExperimentArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentResult
-
The ARN of the updated inference experiment.
- getInferenceExperiments() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
List of inference experiments.
- getInferenceImage() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The inference image to use when compiling a model.
- getInferenceRecommendations() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The recommendations made by Inference Recommender.
- getInferenceRecommendationsJobName() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of a previously completed Inference Recommender job.
- getInferenceRecommendationsJobName() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of a previously completed Inference Recommender job.
- getInferenceRecommendationsJobs() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
The recommendations created from the Amazon SageMaker Inference Recommender job.
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- getInferenceSpecification() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Defines how to perform inference generation after a training job is run.
- getInferenceSpecificationName() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The inference specification name in the model package version.
- getInferenceSpecificationName() - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The inference specification name in the model package version.
- getInferenceSpecificationName() - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The inference specification name in the model package version.
- getInfrastructureConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The configuration for the infrastructure that the model will be deployed to.
- getInfrastructureConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The configuration of the infrastructure that the model has been deployed to.
- getInfrastructureType() - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The inference option to which to deploy your model.
- getInitialActiveLearningModelArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for
auto-labeling.
- getInitialInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The number of instances recommended to launch initially.
- getInitialInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- getInitialNumberOfUsers() - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how many concurrent users to start with.
- getInitialSamplingPercentage() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The percentage of requests SageMaker will capture.
- getInitialVariantWeight() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- getInProgress() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- getInput() - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- getInputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The input artifacts for the component.
- getInputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The input artifacts of the component.
- getInputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The input artifacts of the component.
- getInputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's input artifacts with the specified artifacts or adds new input artifacts.
- getInputArtifactsToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The input artifacts to remove from the component.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations you provided when you initiated the job.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- getInputConfig() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of channel objects that describes the input data and its location.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the input data configuration for the AutoML job.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel
objects that specify the input for the training jobs that the tuning job launches.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- getInputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- getInputFilter() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the input data to pass to the algorithm.
- getInputMode() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- getInputMode() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether to use File or Pipe input mode.
- getInputName() - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
The name for the processing job input.
- getInstanceConfigs() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The number of instances of the type specified by InstanceType.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The number of compute instances of type InstanceType to use.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the number of instances of the instance group.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The number of ML compute instances to use in the model monitoring job.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The number of ML compute instances to use in the processing job.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The number of instances of the type specified by InstanceType.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- getInstanceCount() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- getInstanceGroupName() - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the name of the instance group.
- getInstanceGroupNames() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of names of instance groups that get data from the S3 data source.
- getInstanceGroups() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The configuration of a heterogeneous cluster in JSON format.
- getInstanceMetadataServiceConfiguration() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- getInstanceMetadataServiceConfiguration() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Information on the IMDS configuration of the notebook instance
- getInstanceMetadataServiceConfiguration() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The instance type to deploy a custom rule for debugging a training job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The instance types to use for the load test.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The instance type recommended by Amazon SageMaker Inference Recommender.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The instance type used for processing of hyperparameter optimization jobs.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The instance type used to run hyperparameter optimization tuning jobs.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the instance type of the instance group.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The ML compute instance type for the processing job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The type of instances associated with the variant.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The ML compute instance type for the processing job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The instance type to deploy a custom rule for profiling a training job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The instance type the model is deployed to.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended instance type for Real-Time Inference.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The instance type that the image version runs on.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- getInstanceType() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- getIntegerParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job
searches.
- getIntegerParameterRangeSpecification() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- getInvocationEndTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark completed.
- getInvocationEndTime() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark completed.
- getInvocationsMaxRetries() - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The maximum number of retries when invocation requests are failing.
- getInvocationsPerInstance() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant.
- getInvocationStartTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark started.
- getInvocationStartTime() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark started.
- getInvocationsTimeoutInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The timeout value in seconds for an invocation request.
- getIotRoleAlias() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
- getIotThingName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
- getIotThingName() - Method in class com.amazonaws.services.sagemaker.model.Device
-
Amazon Web Services Internet of Things (IoT) object name.
- getIotThingName() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
- getIsRequired() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- getIsRequired() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- getIssuer() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP issuer used to configure your private workforce.
- getIssuer() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP issuer used to configure your private workforce.
- getIsTunable() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- getItemIdentifierAttributeName() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column that represents the set of item identifiers for which you want to predict the target
value.
- getJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the recommendation job.
- getJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the job.
- getJobArn() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of the recommendation job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the job definition.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality monitoring job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the data quality monitoring job definition.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- getJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality job.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The name for the monitoring job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The name of the bias job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The name of the monitoring job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to delete.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelBiasJobDefinitionRequest
-
The name of the model bias job definition to delete.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition to delete.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelQualityJobDefinitionRequest
-
The name of the model quality monitoring job definition to delete.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to describe.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The name of the data quality monitoring job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionRequest
-
The name of the model bias job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The name of the bias job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The name of the explainability job definition.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionRequest
-
The name of the model quality job.
- getJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The name of the quality job definition.
- getJobDefinitionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
A list of data quality monitoring job definitions.
- getJobDefinitionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
A JSON array in which each element is a summary for a model bias jobs.
- getJobDefinitionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
A JSON array in which each element is a summary for a explainability bias jobs.
- getJobDefinitionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
A list of summaries of model quality monitoring job definitions.
- getJobDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Description of the recommendation job.
- getJobDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job description that you provided when you initiated the job.
- getJobDescription() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The job description.
- getJobDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the maximum duration of the job, in seconds.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A name for the recommendation job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobRequest
-
The name of the job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The name of the job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The name of the Inference Recommender job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The name for the Inference Recommender job.
- getJobName() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobRequest
-
The name of the job you want to stop.
- getJobReferenceCode() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- getJobReferenceCode() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- getJobReferenceCodeContains() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- getJobResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Defines the type of recommendation job.
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates SageMaker job type compatibility.
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job type that you provided when you initiated the job.
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The recommendation job type.
- getJobType() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- getJoinSource() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- getJson() - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The JSON dataset used in the monitoring job
- getJsonContentTypes() - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as JSON and capture accordingly.
- getJupyterServerAppSettings() - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- getJupyterServerAppSettings() - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- getJupyterServerAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Jupyter server's app settings.
- getJwksUri() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- getJwksUri() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- getKeepAlivePeriodInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
- getKeepAlivePeriodInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfigForUpdate
-
The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.
- getKernelGatewayAppSettings() - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- getKernelGatewayAppSettings() - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- getKernelGatewayAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The kernel gateway app settings.
- getKernelGatewayImageConfig() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The configuration for the file system and kernels in the SageMaker image.
- getKernelGatewayImageConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The KernelGatewayImageConfig.
- getKernelGatewayImageConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The configuration of a KernelGateway app.
- getKernelGatewayImageConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The new KernelGateway app to run on the image.
- getKernelSpecs() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The specification of the Jupyter kernels in the image.
- getKey() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The environment key suggested by the Amazon SageMaker Inference Recommender.
- getKey() - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
A key that must contain a value to describe the feature.
- getKey() - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The key that identifies a provisioning parameter.
- getKey() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- getKmsKey() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- getKmsKey() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- getKmsKey() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest
using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
asynchronous inference output in Amazon S3.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data generated from an Athena query execution.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Key Management Service (KMS) encryption key ID.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the batch transform job.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
SageMaker uses Amazon Web Services KMS to encrypt the EFS volume attached to the domain with an Amazon Web
Services managed key by default.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the endpoint.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to your notebook instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
the captured data at rest using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The KMS key being used to encrypt the data in Amazon S3.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume after compilation job.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon Key Management Service (KMS) key ID for server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSecurityConfig
-
A Key Management Service
key ID to use for
encrypting a model card.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreSecurityConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the
Amazon S3 objects at rest using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to
encrypt your output models with Amazon S3 server-side encryption after compilation job.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
model artifacts at rest using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the processing job output.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
core dump data at rest using Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data from a Redshift execution.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into
the OfflineStore S3 location.
- getKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- getLabelAttribute() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to locate the list of label headers in the model container output.
- getLabelAttributeName() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- getLabelAttributeName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- getLabelCategoryConfigS3Uri() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URI of the file, referred to as a label category configuration file, that defines the categories
used to label the data objects.
- getLabelCategoryConfigS3Uri() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- getLabelCounters() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- getLabelHeaders() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
For multiclass classification problems, the label headers are the names of the classes.
- getLabelIndex() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a label header or list of label headers from model container output in CSV
format.
- getLabelingJobAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- getLabelingJobAlgorithmsConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- getLabelingJobAlgorithmSpecificationArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training
job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- getLabelingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the labeling job that created the transform job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- getLabelingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- getLabelingJobOutput() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- getLabelingJobOutput() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- getLabelingJobResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- getLabelingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- getLabelingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- getLabelingJobSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- getLabelingJobSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- getLambda() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output
parameters.
- getLanguage() - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
Specifies the language of the text features in
ISO 639-1 or
ISO 639-3 code of a supported language.
- getLast() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The most recent value of the metric.
- getLastBatchTransformJob() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
- getLastDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The most recent deployment configuration for the endpoint.
- getLastExecutionTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The last time that a pipeline execution began.
- getLastHealthCheckTimestamp() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last health check.
- getLastModifiedAt() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was last modified.
- getLastModifiedAt() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was last modified..
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who last modified the experiment.
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who last modified the component.
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who last modified the trial.
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.Project
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- getLastModifiedBy() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who last modified the component.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the job was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when the feature group was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the metadata for the feature group was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you last modified the inference experiment.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The last modified time of the lineage group.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The last time that the model package was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was modified last.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The timestamp when project was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the edge packaging job was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The last time the endpoint was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A timestamp indicating the last time you updated the feature group.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp when you last modified the inference experiment.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The last modified time of the lineage group summary.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The time date and time that the model card version was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The last time the endpoint was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The last time the model package was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was last updated.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
A timestamp that indicates the last time the monitoring job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The last time the monitoring schedule was changed.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The last time the monitoring schedule was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time that the pipeline was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The time that the pipeline execution was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The time that the pipeline was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A timestamp that indicates the last time the processing job was modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp container for when the project was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The last modified time.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who last modified the trial.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was last modified.
- getLastModifiedTime() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The last modified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated after X
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated after this time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated after specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified after the time specified.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified after this timestamp.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified before a specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified after a specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified after the specified time.
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- getLastModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated before X
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated before this time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated before specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified before the time specified.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified before this timestamp.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified after a specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified before the specified time.
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- getLastModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- getLastMonitoringExecutionSummary() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Describes metadata on the last execution to run, if there was one.
- getLastMonitoringExecutionSummary() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- getLastMonitoringExecutionSummary() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- getLastRunTime() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last run.
- getLastRunTime() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time when the pipeline was last run.
- getLastUpdatedDate() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The most recent date that
UpdateWorkforce was
used to successfully add one or more IP address ranges (
CIDRs) to a private workforce's
allow list.
- getLastUpdatedDate() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- getLastUpdateStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A value indicating whether the update made to the feature group was successful.
- getLastUpdateStatus() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A value that indicates whether the feature group was updated successfully.
- getLastUserActivityTimestamp() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last user's activity.
- getLatestHeartbeat() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The last heartbeat received from the device.
- getLatestHeartbeat() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The last heartbeat received from the device.
- getLatestHeartbeatAfter() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Select fleets where the job was updated after X
- getLatestInference() - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last inference that was made.
- getLatestSampleTime() - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last data sample taken.
- getLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
- getLifecycleConfigArns() - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.
- getLifecycleConfigArns() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
- getLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- getLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- getLine() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJsonDatasetFormat
-
Indicates if the file should be read as a json object per line.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The Amazon Resource Name (ARN) of the lineage group resource.
- getLineageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the lineage group resource.
- getLineageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupRequest
-
The name of the lineage group.
- getLineageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The name of the lineage group.
- getLineageGroupName() - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyRequest
-
The name or Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupName() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The name or Amazon Resource Name (ARN) of the lineage group.
- getLineageGroupPolicy(GetLineageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getLineageGroupPolicy(GetLineageGroupPolicyRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
The resource policy for the lineage group.
- getLineageGroupPolicy(GetLineageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
The resource policy for the lineage group.
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest, AsyncHandler<GetLineageGroupPolicyRequest, GetLineageGroupPolicyResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
The resource policy for the lineage group.
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest, AsyncHandler<GetLineageGroupPolicyRequest, GetLineageGroupPolicyResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
The resource policy for the lineage group.
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest, AsyncHandler<GetLineageGroupPolicyRequest, GetLineageGroupPolicyResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetLineageGroupPolicyRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetLineageGroupPolicyRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyRequest
-
- GetLineageGroupPolicyResult - Class in com.amazonaws.services.sagemaker.model
-
- GetLineageGroupPolicyResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
- getLineageGroupSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
A list of lineage groups and their properties.
- getLineageType() - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of resource of the lineage entity.
- getLineageTypes() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
- getLinearStepSize() - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for each step to turn on traffic on the new endpoint fleet.
- getListingId() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
Marketplace product listing ID.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Path to the filesystem where the batch transform data is available to the container.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
(Optional) The local directory where checkpoints are written.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to local storage location for metrics and tensors.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to local storage location for output of rules.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Path to the filesystem where the endpoint data is available to the container.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The local path in your container where you want Amazon SageMaker to write input data to.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to local storage location for output of rules.
- getLocalPath() - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to local storage location for tensorBoard output.
- getLogFilePath() - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The path to the log file where the cluster step's failure root cause is recorded.
- getLogoutEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP logout endpoint used to configure your private workforce.
- getLogoutEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP logout endpoint used to configure your private workforce.
- getMachineLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- getManifestS3Uri() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- getMarketplaceDescription() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- getMarketplaceTitle() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- getMax() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The maximum value of the metric.
- getMaxAutoMLJobRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum runtime, in seconds, an AutoML job has to complete.
- getMaxCandidates() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum number of times a training job is allowed to run.
- getMaxCapacity() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended maximum capacity to specify for your autoscaling policy.
- getMaxConcurrency() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The maximum number of concurrent invocations your serverless endpoint can process.
- getMaxConcurrency() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated maximum number of concurrent invocations your serverless endpoint can process.
- getMaxConcurrentInvocationsPerInstance() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceClientConfig
-
The maximum number of concurrent requests sent by the SageMaker client to the model container.
- getMaxConcurrentTaskCount() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- getMaxConcurrentTransforms() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- getMaxDepth() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
The maximum depth in lineage relationships from the StartArns that are traversed.
- getMaxHumanLabeledObjectCount() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- getMaximumBatchSize() - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for each rolling step to provision capacity and turn on traffic on the new endpoint fleet, and
terminate capacity on the old endpoint fleet.
- getMaximumExecutionTimeoutInSeconds() - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Maximum execution timeout for the deployment.
- getMaximumExecutionTimeoutInSeconds() - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The time limit for the total deployment.
- getMaximumRetryAttempts() - Method in class com.amazonaws.services.sagemaker.model.RetryStrategy
-
The number of times to retry the job.
- getMaxInvocations() - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected maximum number of requests per minute for the instance.
- getMaxInvocations() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The maximum number of requests per minute expected for the endpoint.
- getMaxInvocations() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected maximum number of requests per minute for the instance.
- getMaxInvocationsPerMinute() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The maximum number of expected requests to your endpoint per minute.
- getMaxModels() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The maximum number of models.
- getMaxNumberOfTests() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of load tests.
- getMaxNumberOfTrainingJobs() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- getMaxNumberOfTrainingJobsNotImproving() - Method in class com.amazonaws.services.sagemaker.model.BestObjectiveNotImproving
-
The number of training jobs that have failed to improve model performance by 1% or greater over prior training
jobs as evaluated against an objective function.
- getMaxParallelExecutionSteps() - Method in class com.amazonaws.services.sagemaker.model.ParallelismConfiguration
-
The max number of steps that can be executed in parallel.
- getMaxParallelOfTests() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of parallel load tests.
- getMaxParallelTrainingJobs() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum payload size (MB) allowed of a request from the explainer to the model container.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum allowed size of the payload, in MB.
- getMaxPayloadInMB() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- getMaxPercentageOfInputDatasetLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- getMaxRecordCount() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum number of records in a request that the model container can process when querying the model container
for the predictions of a
synthetic dataset.
- getMaxResource() - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The maximum number of results to select (50 by default).
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The maximum number of actions to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The maximum number of aliases to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The maximum number of artifacts to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The maximum number of associations to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs up to a specified limit.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the job's candidates up to a specified limit.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The maximum number of contexts to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The maximum number of data quality monitoring job definitions to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The maximum number of results to select.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Maximum number of results to select.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The maximum number of results to select (50 by default).
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Maximum number of results to select.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The maximum number of experiments to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The maximum number of results returned by ListFeatureGroups.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
The total number of items to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The maximum amount of hub content to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The maximum number of hub content versions to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
The maximum number of hubs to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
The total number of items to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The maximum number of images to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The maximum number of versions to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The maximum number of results to select.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The maximum number of recommendations to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The maximum number of results to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The maximum number of endpoints to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The maximum number of model bias jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
The maximum number of model card export jobs to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
The maximum number of model cards to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
The maximum number of model card versions to list.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The maximum number of jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
The maximum number of models to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The maximum number of results to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The maximum number of results to return in a call to ListModelQualityJobDefinitions.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The maximum number of results to display.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The maximum number of results to display.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The maximum number of jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The maximum number of jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The maximum number of pipeline executions to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The maximum number of pipeline execution steps to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The maximum number of parameters to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The maximum number of pipelines to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The maximum number of processing jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The maximum number of projects to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The maximum number of results returned by ListResourceCatalogs.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The maximum number of requests to select.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The maximum number of components to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The maximum number of trials to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The total number of items to return in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
The maximum number of workforces returned in the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the results.
- getMaxResults() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.MonitoringStoppingCondition
-
The maximum runtime allowed in seconds.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ProcessingStoppingCondition
-
Specifies the maximum runtime in seconds.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum time in seconds that a hyperparameter tuning job can run.
- getMaxRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
- getMaxRuntimePerTrainingJobInSeconds() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as
part of a hyperparameter tuning job.
- getMaxSchemaVersion() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The upper bound of the hub content schema verion.
- getMaxSchemaVersion() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The upper bound of the hub content schema version.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- getMaxValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- getMaxWaitTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a managed Spot training job has to complete.
- getMediaType() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The media type of the artifact, which indicates the type of data in the artifact file.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- getMemberDefinitions() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- getMemorySizeInMB() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The memory size of your serverless endpoint.
- getMemoryUtilization() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected memory utilization at maximum invocations per minute for the instance.
- getMessage() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- getMessage() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
If the component failed, a message describing why.
- getMetadata() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
Metadata to run the pipeline step.
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metadata properties of the tracking entity, trial, or trial component.
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- getMetadataProperties() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- getMetric() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition
objects that specify the metrics that the algorithm emits.
- getMetricDefinitions() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobObjective
-
The name of the objective metric used to measure the predictive quality of a machine learning system.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The name of the customized metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the metric with the best result.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the metric.
- getMetricName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The name of the metric.
- getMetrics() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The metrics for the component.
- getMetrics() - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
The metrics for an existing endpoint.
- getMetrics() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The metrics used to decide what recommendation to make.
- getMetrics() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- getMetrics() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The metrics for the component.
- getMetricSpecification() - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
An object containing information about a metric.
- getMimeType() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The MIME type of the baseline data.
- getMin() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The minimum value of the metric.
- getMinCapacity() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended minimum capacity to specify for your autoscaling policy.
- getMinimumInstanceMetadataServiceVersion() - Method in class com.amazonaws.services.sagemaker.model.InstanceMetadataServiceConfiguration
-
Indicates the minimum IMDS version that the notebook instance supports.
- getMinInvocationsPerMinute() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The minimum number of expected requests to your endpoint per minute.
- getMinResource() - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- getMinValue() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- getMinVersion() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The lower bound of the hub content versions to list.
- getMLFramework() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The machine learning framework vended in the image version.
- getMLFramework() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The machine learning framework vended in the image version.
- getMLFramework() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The machine learning framework vended in the image version.
- getMode() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The method that Autopilot uses to train the data.
- getMode() - Method in class com.amazonaws.services.sagemaker.model.Autotune
-
Set Mode to Enabled if you want to use Autotune.
- getMode() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Whether the container hosts a single model or multiple models.
- getMode() - Method in class com.amazonaws.services.sagemaker.model.InferenceExecutionConfig
-
How containers in a multi-container are run.
- getMode() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The method that Autopilot uses to train the data.
- getModel() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
A model displayed in the Model Dashboard.
- getModel() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The name of the model.
- getModel() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model that was created by this step execution.
- getModel() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The approval status of the model.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether the model is approved for deployment.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The approval status of the model package.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages with the specified approval status.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The approval status of the model.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The approval status of the model.
- getModelApprovalStatus() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The approval status of the model.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in SageMaker.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the model.
- getModelArn() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- getModelArtifact() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Simple Storage (S3) URI where model artifacts ares stored.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- getModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- getModelBiasAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Configures the model bias job to run a specified Docker container image.
- getModelBiasAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Configures the model bias job to run a specified Docker container image.
- getModelBiasBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The baseline configuration for a model bias job.
- getModelBiasBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The baseline configuration for a model bias job.
- getModelBiasJobInput() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Inputs for the model bias job.
- getModelBiasJobInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Inputs for the model bias job.
- getModelBiasJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- getModelBiasJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- getModelCacheSetting() - Method in class com.amazonaws.services.sagemaker.model.MultiModelConfig
-
Whether to cache models for a multi-model endpoint.
- getModelCard() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The model card for a model.
- getModelCard() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
An Amazon SageMaker Model Card that documents details about a machine learning model.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardResult
-
The Amazon Resource Name (ARN) of the successfully created model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The Amazon Resource Name (ARN) of the model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The Amazon Resource Name (ARN) of the model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The Amazon Resource Name (ARN) of the model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The Amazon Resource Name (ARN) of the model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The Amazon Resource Name (ARN) for a model card.
- getModelCardArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardResult
-
The Amazon Resource Name (ARN) of the updated model card.
- getModelCardExportJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- getModelCardExportJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobRequest
-
The Amazon Resource Name (ARN) of the model card export job to describe.
- getModelCardExportJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- getModelCardExportJobArn() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The Amazon Resource Name (ARN) of the model card export job.
- getModelCardExportJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name of the model card export job.
- getModelCardExportJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name of the model card export job to describe.
- getModelCardExportJobName() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card export job.
- getModelCardExportJobNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with names that contain the specified string.
- getModelCardExportJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
The summaries of the listed model card export jobs.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name or Amazon Resource Name (ARN) of the model card to export.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The unique name of the model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelCardRequest
-
The name of the model card to delete.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name or Amazon Resource Name (ARN) of the model card that the model export job exports.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to describe.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The name of the model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified name.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
List model card versions for the model card with the specified name or Amazon Resource Name (ARN).
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name of the model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card that the export job exports.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The name of the model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The name of the model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The name of a model card.
- getModelCardName() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to update.
- getModelCardProcessingStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The processing status of model card deletion.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The approval status of the model card within your organization.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The approval status of the model card within your organization.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with the specified approval status.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions with the specified approval status.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The approval status of the model card within your organization.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The approval status of the model card within your organization.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The approval status of the model card version within your organization.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card status.
- getModelCardStatus() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The approval status of the model card within your organization.
- getModelCardSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
The summaries of the listed model cards.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The version of the model card to export.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The version of the model card that the model export job exports.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The version of the model card to describe.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The version of the model card.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified version.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The version of the model card.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The version of the model card that the export job exports.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
A version of the model card.
- getModelCardVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card version.
- getModelCardVersionSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
The summaries of the listed versions of the model card.
- getModelClientConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configures the timeout and maximum number of retries for processing a transform job invocation.
- getModelClientConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The timeout and maximum number of retries for processing a transform job invocation.
- getModelClientConfig() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getModelConfigs() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of models associated with the edge deployment plan.
- getModelConfigs() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of models associated with the edge deployment plan.
- getModelConfiguration() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the model configuration.
- getModelConfiguration() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- getModelDashboardIndicator() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertActions
-
An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert
status.
- getModelDataDownloadTimeoutInSeconds() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the
individual inference instance associated with this production variant.
- getModelDataQuality() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model data quality baselines that can be used when the model monitor is set using the
model package.
- getModelDataQuality() - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of the input data for a model.
- getModelDataSource() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies the location of ML model data to deploy.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The location of the model artifacts.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- getModelDataUrl() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- getModelDeployConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- getModelDeployConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- getModelDeployConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- getModelDeployConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- getModelDeployResult() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Provides information about endpoint for the model deployment.
- getModelDeployResult() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Provides information about endpoint for the model deployment.
- getModelDigests() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
- getModelExplainabilityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Configures the model explainability job to run a specified Docker container image.
- getModelExplainabilityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Configures the model explainability job to run a specified Docker container image.
- getModelExplainabilityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The baseline configuration for a model explainability job.
- getModelExplainabilityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The baseline configuration for a model explainability job.
- getModelExplainabilityJobInput() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Inputs for the model explainability job.
- getModelExplainabilityJobInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Inputs for the model explainability job.
- getModelExplainabilityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- getModelExplainabilityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- getModelHandle() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The name the device application uses to reference this model.
- getModelId() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name (ID) of the model.
- getModelId() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
For models created in SageMaker, this is the model ARN.
- getModelInput() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
A structure with Model Input details.
- getModelInsights() - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
- getModelLatency() - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected model latency at maximum invocations per minute for the instance.
- getModelLatency() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected model latency at maximum invocation per minute for the instance.
- getModelLatency() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The interval of time taken by a model to respond as viewed from SageMaker.
- getModelLatencyThresholds() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The interval of time taken by a model to respond as viewed from SageMaker.
- getModelMetadataSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A structure that holds model metadata.
- getModelMetrics() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A structure that contains model metrics reports.
- getModelMetrics() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Metrics for the model.
- getModelMetrics() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metrics for the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the SageMaker model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the created model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
A filter that searches devices that contains this name in any of their models.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.Model
-
The name of the model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the Amazon SageMaker Model entity.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the Amazon SageMaker Model entity.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The name of the created model.
- getModelName() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the model associated with the transform job.
- getModelNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs where the model name contains this string.
- getModelNameEquals() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this model.
- getModelPackage() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The Amazon Resource Name (ARN) of the model package.
- getModelPackageArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageResult
-
The Amazon Resource Name (ARN) of the model.
- getModelPackageArnList() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageRequest
-
The list of Amazon Resource Name (ARN) of the model package groups.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The description of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The description of the model package.
- getModelPackageDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- getModelPackageGroup() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getModelPackageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- getModelPackageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- getModelPackageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The Amazon Resource Name (ARN) of the model group.
- getModelPackageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The Amazon Resource Name (ARN) of the model group.
- getModelPackageGroupArn() - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the model package group.
- getModelPackageGroupDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A description for the model group.
- getModelPackageGroupDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
A description of the model group.
- getModelPackageGroupDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The description for the model group.
- getModelPackageGroupDescription() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
A description of the model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The group name for the model package
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The model package group name.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
The name of the model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupPolicyRequest
-
The name of the model group for which to delete the policy.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupRequest
-
The name of the model group to delete.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupRequest
-
The name of gthe model group to describe.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The name of the model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
If the model is a versioned model, the name of the model group that the versioned model belongs to.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyRequest
-
The name of the model group for which to get the resource policy.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model versions that belong to the specified model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The model package group that contains the model package.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The model group to which the model belongs.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The name of the model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The name of the model group.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the model group that the versioned model belongs to.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The name of the model group to add a resource policy to.
- getModelPackageGroupName() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The model package group name.
- getModelPackageGroupPolicy(GetModelPackageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getModelPackageGroupPolicy(GetModelPackageGroupPolicyRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Gets a resource policy that manages access for a model group.
- getModelPackageGroupPolicy(GetModelPackageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Gets a resource policy that manages access for a model group.
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest, AsyncHandler<GetModelPackageGroupPolicyRequest, GetModelPackageGroupPolicyResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Gets a resource policy that manages access for a model group.
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest, AsyncHandler<GetModelPackageGroupPolicyRequest, GetModelPackageGroupPolicyResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Gets a resource policy that manages access for a model group.
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest, AsyncHandler<GetModelPackageGroupPolicyRequest, GetModelPackageGroupPolicyResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetModelPackageGroupPolicyRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetModelPackageGroupPolicyRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyRequest
-
- GetModelPackageGroupPolicyResult - Class in com.amazonaws.services.sagemaker.model
-
- GetModelPackageGroupPolicyResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyResult
-
- getModelPackageGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The status of the model group.
- getModelPackageGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The status of the model group.
- getModelPackageGroupStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The status of the model group.
- getModelPackageGroupSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
A list of summaries of the model groups in your Amazon Web Services account.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to delete.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to describe.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The name of the model.
- getModelPackageName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The status of the mortgage package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The status of the model package.
- getModelPackageStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- getModelPackageStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- getModelPackageStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies the validation and image scan statuses of the model package.
- getModelPackageSummaries() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
The summaries for the model package versions
- getModelPackageSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- getModelPackageType() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages of the specified type.
- getModelPackageVersion() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The version number of a versioned model.
- getModelPackageVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The version of the model package.
- getModelPackageVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The version number of a versioned model.
- getModelPackageVersion() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the version of the model.
- getModelPackageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of a versioned model package.
- getModelPackageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you
initiated a compilation job.
- getModelPackageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of a versioned model package.
- getModelPackageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a versioned model package.
- getModelPackageVersionArnEquals() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this versioned model package.
- getModelQuality() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
- getModelQuality() - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of a model.
- getModelQualityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The container that runs the monitoring job.
- getModelQualityAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Configures the model quality job to run a specified Docker container image.
- getModelQualityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the constraints and baselines for the monitoring job.
- getModelQualityBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The baseline configuration for a model quality job.
- getModelQualityJobInput() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
A list of the inputs that are monitored.
- getModelQualityJobInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Inputs for the model quality job.
- getModelQualityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- getModelQualityJobOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- getModelRegisterSettings() - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The model registry settings for the SageMaker Canvas application.
- getModels() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Models on the device.
- getModels() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Models on the device.
- getModels() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- getModelSetupTime() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The time it takes to launch new compute resources for a serverless endpoint.
- getModelSignature() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The signature document of files in the model artifact.
- getModelStats() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of model on device.
- getModelVariantActions() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
Array of key-value pairs, with names of variants mapped to actions.
- getModelVariants() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- getModelVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
An array of ModelVariantConfigSummary objects.
- getModelVariants() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The version of the model.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The version of the model.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The model version.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The model version.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The version model.
- getModelVersion() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The version of the model.
- getModifiedAfter() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the last modified date.
- getModifiedBefore() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) before the last modified date.
- getModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or after the specified time.
- getModifiedTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified after the specified time.
- getModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or before the specified time.
- getModifiedTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified before the specified time.
- getMonitoringAlertHistory() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
An alert history for a model monitoring schedule.
- getMonitoringAlertName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring alert.
- getMonitoringAlertName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring alert.
- getMonitoringAlertName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The name of a monitoring alert.
- getMonitoringAlertName() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring alert.
- getMonitoringAlertName() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The name of a monitoring alert.
- getMonitoringAlertSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
A JSON array where each element is a summary for a monitoring alert.
- getMonitoringAlertSummaries() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A JSON array where each element is a summary for a monitoring alert.
- getMonitoringAppSpecification() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Configures the monitoring job to run a specified Docker container image.
- getMonitoringExecutionStatus() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The status of the monitoring job.
- getMonitoringExecutionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
A JSON array in which each element is a summary for a monitoring execution.
- getMonitoringInputs() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of inputs for the monitoring job.
- getMonitoringJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Defines the monitoring job.
- getMonitoringJobDefinitionArn() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Gets a list of the monitoring job runs of the specified monitoring job definitions.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Gets a list of the monitoring schedules for the specified monitoring job definition.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring job.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the monitoring job.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The name of the monitoring job definition to schedule.
- getMonitoringJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring job definition that the schedule is for.
- getMonitoringOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
- getMonitoringOutputs() - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
Monitoring outputs for monitoring jobs.
- getMonitoringResources() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The Amazon Resource Name (ARN) of a monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- getMonitoringScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- getMonitoringScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- getMonitoringScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- getMonitoringScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- getMonitoringScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.DeleteMonitoringScheduleRequest
-
The name of the monitoring schedule to delete.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleRequest
-
Name of a previously created monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Name of the monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The name of a monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific schedule to fetch jobs for.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The name of a monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The name of the monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleRequest
-
The name of the schedule to start.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleRequest
-
The name of the schedule to stop.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring schedule.
- getMonitoringScheduleName() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- getMonitoringSchedules() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of monitoring schedules for the endpoint.
- getMonitoringSchedules() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The monitoring schedules for a model.
- getMonitoringScheduleStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The status of an monitoring job.
- getMonitoringScheduleStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The status of the monitoring schedule.
- getMonitoringScheduleStatus() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The status of the monitoring schedule.
- getMonitoringScheduleStatus() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The status of the monitoring schedule.
- getMonitoringScheduleSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
A JSON array in which each element is a summary for a monitoring schedule.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The type of the monitoring job that this schedule runs.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The monitor type of a model monitor.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The type of the monitoring job.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The type of the monitoring job definition to schedule.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The type of the monitoring job definition to schedule.
- getMonitoringType() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The type of the monitoring job definition that the schedule is for.
- getMonitoringTypeEquals() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only the monitoring job runs of the specified monitoring type.
- getMonitoringTypeEquals() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only the monitoring schedules for the specified monitoring type.
- getMountPath() - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The path within the image to mount the user's EFS home directory.
- getMultiModelConfig() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies additional configuration for multi-model endpoints.
- getName() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A unique name to identify the additional inference specification.
- getName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- getName() - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
The name of the hyperparameter to optimize using Autotune.
- getName() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The Name of the environment variable.
- getName() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- getName() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name for the inference experiment.
- getName() - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentRequest
-
The name of the inference experiment you want to delete.
- getName() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentRequest
-
The name of the inference experiment to describe.
- getName() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The name of the inference experiment.
- getName() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A resource property name.
- getName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- getName() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The name of the inference experiment.
- getName() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- getName() - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The name of the Jupyter kernel in the image.
- getName() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The name of the of the model to filter by.
- getName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- getName() - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The name of the output parameter.
- getName() - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The name of the parameter to assign a value to.
- getName() - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentRequest
-
The name of the inference experiment to start.
- getName() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The name of the inference experiment to stop.
- getName() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The name of the inference experiment to be updated.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs whose name contains the specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a search filter for name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A string in the data quality monitoring job definition name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter for fleets containing this name in their fleet device name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with names containing this name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs containing this name in their packaging job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A string that partially matches one or more FeatureGroups names.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content if the name contains the specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs with names that contain the specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images whose name contains the specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments whose names contain this name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A string in the job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Filter for model bias jobs whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with names that contain the specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Filter for model explainability jobs whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A string in the model group name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A string in the transform job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the model name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Filter for monitoring schedules whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A string in the processing job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects whose name contains a specified string.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A string that partially matches one or more ResourceCatalogs names.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A string in the Lifecycle Configuration name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A filter you can use to search for workforces using part of the workforce name.
- getNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- getNamespace() - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The namespace of the customized metric.
- getNearestModelName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model.
- getNearestModelName() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
matches your model.
- getNestedFilters() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- getNestedPropertyName() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies networking configuration for the monitoring job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Networking options for a model bias job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Networking options for a model explainability job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the network configuration for the monitoring job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from
processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The networking configuration for the data quality monitoring job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Networking options for a model bias job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Networking options for a model explainability job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Networking options for a model quality job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Networking options for a processing job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies networking options for an monitoring job.
- getNetworkConfig() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getNetworkInterfaceId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that SageMaker created at the time of creating the instance.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
Next token of device description.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
If the edge deployment plan has enough stages to require tokening, then this is the response from the last list
of stages returned.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
Token to use when calling the next set of stages in the edge deployment plan.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
If the previous call to ListActions didn't return the full set of actions, the call returns a token
for getting the next set of actions.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A token for getting the next set of actions, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
If the previous call to ListAliases didn't return the full set of aliases, the call returns a token
for retrieving the next set of aliases.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A token for getting the next set of aliases, if more aliases exist.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
If the previous call to ListImages didn't return the full set of AppImageConfigs, the call returns a
token for getting the next set of AppImageConfigs.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A token for getting the next set of AppImageConfigs, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
If the previous call to ListArtifacts didn't return the full set of artifacts, the call returns a
token for getting the next set of artifacts.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A token for getting the next set of artifacts, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
If the previous call to ListAssociations didn't return the full set of associations, the call
returns a token for getting the next set of associations.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A token for getting the next set of associations, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
If the previous response was truncated, you receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
If the previous response was truncated, you receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
If the previous response was truncated, you receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
If the previous response was truncated, you receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
If the previous call to ListContexts didn't return the full set of contexts, the call returns a
token for getting the next set of contexts.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A token for getting the next set of contexts, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
The token to use when calling the next page of results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Token to use when calling the next page of results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
If the previous call to ListExperiments didn't return the full set of experiments, the call returns
a token for getting the next set of experiments.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A token for getting the next set of experiments, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A token to resume pagination of ListFeatureGroups results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A token to resume pagination of ListFeatureGroups results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
If the response to a previous ListHubContents request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
If the response to a previous ListHubContentVersions request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
If the response to a previous ListHubs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
If the previous call to ListImages didn't return the full set of images, the call returns a token
for getting the next set of images.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A token for getting the next set of images, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
If the previous call to ListImageVersions didn't return the full set of versions, the call returns a
token for getting the next set of versions.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A token for getting the next set of versions, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The response from the last list when returning a list large enough to need tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
The token to use when calling the next page of results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the
response includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
A token for getting the next set of recommendations, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A token that you can specify to return more results from the list.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A token that you can specify in your next request to return more results from the list.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The token returned if the response is truncated.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
If the response to a previous ListModelCardExportJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
If the response to a previous ListModelCards request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
If the response to a previous ListModelCardVersions request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The token returned if the response is truncated.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
If the response to a previous ListModelMetadataResponse request was truncated, the response includes
a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A token for getting the next set of recommendations, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
If the result of the previous ListModelPackageGroups request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
If the result of the previous ListModelQualityJobDefinitions request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
If the result of the previous ListMonitoringAlertHistory request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
If the result of the previous ListMonitoringAlerts request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The token returned if the response is truncated.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The token returned if the response is truncated.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, SageMaker returns this
token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
If the result of the previous ListProcessingJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
If the result of the previous ListProjects request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A token to resume pagination of ListResourceCatalogs results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A token to resume pagination of ListResourceCatalogs results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The response from the last list when returning a list large enough to neeed tokening.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
The token to use when calling the next page of results.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
If the previous call to ListStudioLifecycleConfigs didn't return the full set of Lifecycle Configurations, the
call returns a token for getting the next set of Lifecycle Configurations.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, SageMaker includes a token in the response.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
If the previous call to ListTrialComponents didn't return the full set of components, the call
returns a token for getting the next set of components.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A token for getting the next set of components, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
If the previous call to ListTrials didn't return the full set of trials, the call returns a token
for getting the next set of trials.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A token for getting the next set of trials, if there are any.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
If the previous response was truncated, you will receive this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A token to resume pagination.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the request.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
Limits the number of vertices in the response.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resources match the specified SearchExpression, the response
includes a NextToken.
- getNextToken() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- getNonRetryableError() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceArn() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- getNotebookInstanceLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- getNotebookInstanceLifecycleConfigNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- getNotebookInstanceLifecycleConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the SageMaker notebook instance to delete.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the SageMaker notebook instance.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- getNotebookInstanceName() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- getNotebookInstances() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- getNotebookInstanceStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- getNotebookInstanceStatus() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- getNotebookOutputOption() - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
Whether to include the notebook cell output when sharing the notebook.
- getNotificationConfig() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
Specifies the configuration for notifications of inference results for asynchronous inference.
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- getNotificationConfiguration() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
Configures SNS notifications of available or expiring work items for work teams.
- getNotificationTopicArn() - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the Amazon SNS topic to which notifications should be published.
- getNumberOfHumanWorkersPerDataObject() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- getNumberOfHumanWorkersPerDataObject() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- getNumberOfSamples() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The number of samples to be used for analysis by the Kernal SHAP algorithm.
- getNumberOfSteps() - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many steps to perform during traffic.
- getNumberOfTrainingJobsObjectiveNotImproving() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model
performance evaluated against an objective function.
- getNumberValue() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The numeric value of a numeric hyperparameter.
- getObjectiveStatus() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The objective's status.
- getObjectiveStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- getObjectiveStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their
final objective metric, that this tuning job launched.
- getObjectiveStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getObjectiveStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric
status, that this tuning job launched.
- getObjectKey() - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
The object key (or key name) uniquely identifies the object in an S3 bucket.
- getOfflineDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and do not have a heart beat.
- getOfflineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Use this to configure an OfflineFeatureStore.
- getOfflineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration of the offline store.
- getOfflineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- getOfflineStoreStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the OfflineStore.
- getOfflineStoreStatus() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- getOfflineStoreStatus() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Notifies you if replicating data into the OfflineStore has failed.
- getOfflineStoreStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
An OfflineStore status.
- getOidcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a private workforce using your own OIDC Identity Provider.
- getOidcConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own
IdP.
- getOidcConfig() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an OIDC Identity Provider (IdP) private workforce.
- getOidcMemberDefinition() - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
A list user groups that exist in your OIDC Identity Provider (IdP).
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- getOnCreate() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance.
- getOnlineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
You can turn the OnlineStore on or off by specifying True for the
EnableOnlineStore flag in OnlineStoreConfig.
- getOnlineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration for the OnlineStore.
- getOnlineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- getOnlineStoreConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group online store configuration.
- getOnlineStoreTotalSizeBytes() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The size of the OnlineStore in bytes.
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOnStart() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- getOperator() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- getOperator() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- getOs() - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform OS.
- getOutcome() - Method in class com.amazonaws.services.sagemaker.model.ConditionStepMetadata
-
The outcome of the Condition step evaluation.
- getOutputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The output artifacts for the component.
- getOutputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The output artifacts of the component.
- getOutputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The output artifacts of the component.
- getOutputArtifacts() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's output artifacts with the specified artifacts or adds new output artifacts.
- getOutputArtifactsToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The output artifacts to remove from the component.
- getOutputCompression() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getOutputCompression() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Specifies the configuration for asynchronous inference invocation outputs.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The output configuration for storing sample data collected by the fleet.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Provides information about the output location for the packaged model.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about where the human review results will be uploaded.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to
encrypt the output data, if any.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The model card output configuration that specifies the Amazon S3 path for exporting.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The output configuration for storing sampled data.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output configuration for the edge packaging job.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about the output file.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used
to encrypt the output data, if any.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The export output details for the model card.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The output configuration for storing sample data collected by the fleet.
- getOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Output configuration for storing sample data collected by the fleet.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 location where you want to store model artifacts.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's output data config.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's output data config.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- getOutputDataConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- getOutputDatasetS3Uri() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- getOutputFilter() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- getOutputFormat() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getOutputFormat() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getOutputName() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
The name for the processing job output.
- getOutputParameters() - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
A list of the output parameters of the callback step.
- getOutputParameters() - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
A list of the output parameters of the Lambda step.
- getOutputParameters() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A list of the output parameters of the callback step.
- getOutputs() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
An array of outputs configuring the data to upload from the processing container.
- getOutputS3Uri() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The location in Amazon S3 where Athena query results are stored.
- getOutputS3Uri() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The location in Amazon S3 where the Redshift query results are stored.
- getOverallBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the best objective metric value of all training jobs launched
by this tuning job and all parent jobs specified for the warm start tuning job.
- getOverallBestTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
This is the configuration that controls the parallelism of the pipeline.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The parallelism configuration applied to the pipeline.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
Lists the parallelism configuration applied to the pipeline.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The parallelism configuration applied to the pipeline.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The parallelism configuration applied to the pipeline execution.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- getParallelismConfiguration() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
If specified, it applies to all executions of this pipeline by default.
- getParameterAdditions() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of key-value pairs that you can add to better describe the feature.
- getParameterRanges() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges
object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal
configuration for the highest model performance against your chosen objective metric.
- getParameterRemovals() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of parameter keys that you can specify to remove parameters that describe your feature.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The hyperparameters for the component.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The key-value pairs that you added to describe the feature.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The hyperparameters of the component.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
Optional key-value pairs that you specify to better describe the feature.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The hyperparameters of the component.
- getParameters() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's hyperparameters with the specified hyperparameters or add new hyperparameters.
- getParametersToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The hyperparameters to remove from the component.
- getParentHyperParameterTuningJobs() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- getParents() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
An array of the parents of the component.
- getParquet() - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The Parquet dataset used in the monitoring job
- getPartialFailureMessage() - Method in class com.amazonaws.services.sagemaker.model.AutoMLPartialFailureReason
-
The message containing the reason for a partial failure of an AutoML job.
- getPartialFailureReasons() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The list of reasons for partial failures within an AutoML job.
- getPartialFailureReasons() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns a list of reasons for partial failures within an AutoML job.
- getPartialFailureReasons() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns a list of reasons for partial failures within an AutoML job V2.
- getPathId() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The path identifier of the product.
- getPayloadConfig() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the SamplePayloadUrl and all other sample payload-related fields.
- getPending() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- getPendingDeploymentSummary() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns the summary of an in-progress deployment.
- getPendingHuman() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- getPercentage() - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Percentage of devices in the fleet to deploy to the current stage.
- getPercentile() - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile threshold.
- getPhases() - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the phases traffic specification.
- getPipeline() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineResult
-
The Amazon Resource Name (ARN) of the created pipeline.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline to delete.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the pipeline.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline that was executed.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) of the pipeline.
- getPipelineArn() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineResult
-
The Amazon Resource Name (ARN) of the updated pipeline.
- getPipelineDefinition() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
- getPipelineDefinition() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The JSON pipeline definition.
- getPipelineDefinition() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The JSON pipeline definition.
- getPipelineDefinition() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The JSON pipeline definition.
- getPipelineDefinitionS3Location() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- getPipelineDefinitionS3Location() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- getPipelineDescription() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A description of the pipeline.
- getPipelineDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The description of the pipeline.
- getPipelineDescription() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The description of the pipeline.
- getPipelineDescription() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The description of the pipeline.
- getPipelineDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The description of the pipeline.
- getPipelineDisplayName() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The display name of the pipeline.
- getPipelineDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The display name of the pipeline.
- getPipelineDisplayName() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The display name of the pipeline.
- getPipelineDisplayName() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The display name of the pipeline.
- getPipelineDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The display name of the pipeline.
- getPipelineExecution() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getPipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the updated pipeline execution.
- getPipelineExecutionDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The description of the pipeline execution.
- getPipelineExecutionDescription() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The description of the pipeline execution.
- getPipelineExecutionDescription() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The description of the pipeline execution.
- getPipelineExecutionDescription() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The description of the pipeline execution.
- getPipelineExecutionDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The description of the pipeline execution.
- getPipelineExecutionDisplayName() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The display name of the pipeline execution.
- getPipelineExecutionDisplayName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The display name of the pipeline execution.
- getPipelineExecutionDisplayName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The display name of the pipeline execution.
- getPipelineExecutionDisplayName() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The display name of the pipeline execution.
- getPipelineExecutionDisplayName() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The display name of the pipeline execution.
- getPipelineExecutionFailureReason() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
A message generated by SageMaker Pipelines describing why the pipeline execution failed.
- getPipelineExecutionStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The status of the pipeline execution.
- getPipelineExecutionStatus() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The status of the pipeline status.
- getPipelineExecutionStatus() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The status of the pipeline execution.
- getPipelineExecutionSteps() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
A list of PipeLineExecutionStep objects.
- getPipelineExecutionSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
Contains a sorted list of pipeline execution summary objects matching the specified filters.
- getPipelineExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- getPipelineExperimentConfig() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The name of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
The name of the pipeline to delete.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineRequest
-
The name or Amazon Resource Name (ARN) of the pipeline to describe.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The name of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The name of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The name of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- getPipelineName() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The name of the pipeline to update.
- getPipelineNamePrefix() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The prefix of the pipeline name.
- getPipelineParameters() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
Contains a list of pipeline parameters.
- getPipelineParameters() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
Contains a list of pipeline parameters.
- getPipelineParameters() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
Contains a list of pipeline parameters.
- getPipelineStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The status of the pipeline execution.
- getPipelineStatus() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The status of the pipeline.
- getPipelineSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
Contains a sorted list of PipelineSummary objects matching the specified filters.
- getPlatformIdentifier() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The platform identifier of the notebook instance runtime environment.
- getPlatformIdentifier() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The platform identifier of the notebook instance runtime environment.
- getPostAnalyticsProcessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- getPostAnalyticsProcessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- getPostAnalyticsProcessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- getPostTrainingConstraints() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The post-training constraints.
- getPostTrainingReport() - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The post-training bias report for a model.
- getPredefined() - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a predefined metric.
- getPredefinedMetricType() - Method in class com.amazonaws.services.sagemaker.model.PredefinedMetricSpecification
-
The metric type.
- getPreHumanTaskLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- getPreHumanTaskLambdaArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- getPresetDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The configuration used to create deployment artifacts.
- getPresetDeploymentOutput() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output of a SageMaker Edge Manager deployable resource.
- getPresetDeploymentType() - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The deployment type SageMaker Edge Manager will create.
- getPreTrainingConstraints() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The pre-training constraints.
- getPreTrainingReport() - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The pre-training bias report for a model.
- getPrimaryContainer() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- getPrimaryContainer() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- getPrimaryContainer() - Method in class com.amazonaws.services.sagemaker.model.Model
-
- getPrimaryStatus() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
The status of the trial component.
- getPrincipalId() - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The ID of the principal that assumes the IAM identity.
- getProbabilityAttribute() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
In a classification problem, the attribute that represents the class probability.
- getProbabilityAttribute() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to extract the probability (or score) from the model container output if the model
container is in JSON Lines format.
- getProbabilityAttribute() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
In a classification problem, the attribute that represents the class probability.
- getProbabilityIndex() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a probability value (score) or list from model container output in CSV format.
- getProbabilityThresholdAttribute() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The threshold for the class probability to be evaluated as a positive result.
- getProbabilityThresholdAttribute() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The threshold for the class probability to be evaluated as a positive result.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Defines the type of supervised learning problem available for the candidates.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's problem type.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The machine learning problem type of the model that the monitoring job monitors.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
The problem type.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The type of supervised learning problem available for the model candidates of the AutoML job V2.
- getProblemType() - Method in class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary
Classification, Multiclass Classification, Regression).
- getProcessingEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job completed.
- getProcessingEndTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job ended.
- getProcessingEndTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job completed.
- getProcessingInputs() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
An array of inputs configuring the data to download into the processing container.
- getProcessingInputs() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The inputs for a processing job.
- getProcessingInputs() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
List of input configurations for the processing job.
- getProcessingJob() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
- getProcessingJob() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a processing job that's the source of a trial component.
- getProcessingJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- getProcessingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- getProcessingJobArn() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- getProcessingJobArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the processing job.
- getProcessingJobArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The Amazon Resource Name (ARN) of the processing job..
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The name of the processing job.
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobRequest
-
The name of the processing job.
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The name of the processing job.
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The name of the processing job.
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The name of the processing job.
- getProcessingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopProcessingJobRequest
-
The name of the processing job to stop.
- getProcessingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Provides the status of a processing job.
- getProcessingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The status of the processing job.
- getProcessingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The status of the processing job.
- getProcessingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
An array of ProcessingJobSummary objects, each listing a processing job.
- getProcessingOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Output configuration for the processing job.
- getProcessingOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Output configuration for the processing job.
- getProcessingOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getProcessingResources() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- getProcessingResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- getProcessingResources() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getProcessingStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job started.
- getProcessingStartTime() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job started.
- getProcessor() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- getProcessor() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates CPU or GPU compatibility.
- getProcessor() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- getProductId() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- getProductId() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon Web Services Marketplace product ID of the model package.
- getProductId() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the product to provision.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the production variants hosted on the endpoint.
- getProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
- getProductListingIds() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- getProfileName() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- getProfileName() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- getProfilerConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- getProfilerConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- getProfilerConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- getProfilerConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage
paths.
- getProfilerRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- getProfilerRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- getProfilerRuleConfigurations() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- getProfilerRuleEvaluationStatuses() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
- getProfilingIntervalInMilliseconds() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
A time interval for capturing system metrics in milliseconds.
- getProfilingIntervalInMilliseconds() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
A time interval for capturing system metrics in milliseconds.
- getProfilingParameters() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration information for capturing framework metrics.
- getProfilingParameters() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Configuration information for capturing framework metrics.
- getProfilingStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Profiling status of a training job.
- getProgrammingLang() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The supported programming language and its version.
- getProgrammingLang() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The supported programming language and its version.
- getProgrammingLang() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The supported programming language and its version.
- getProject() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a project.
- getProjectArn() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- getProjectArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The Amazon Resource Name (ARN) of the project.
- getProjectArn() - Method in class com.amazonaws.services.sagemaker.model.Project
-
The Amazon Resource Name (ARN) of the project.
- getProjectArn() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The Amazon Resource Name (ARN) of the project.
- getProjectArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- getProjectDescription() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
A description for the project.
- getProjectDescription() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The description of the project.
- getProjectDescription() - Method in class com.amazonaws.services.sagemaker.model.Project
-
The description of the project.
- getProjectDescription() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The description of the project.
- getProjectDescription() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The description for the project.
- getProjectId() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The ID of the new project.
- getProjectId() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The ID of the project.
- getProjectId() - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The project ID.
- getProjectId() - Method in class com.amazonaws.services.sagemaker.model.Project
-
The ID of the project.
- getProjectId() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The ID of the project.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The name of the project.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.DeleteProjectRequest
-
The name of the project to delete.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectRequest
-
The name of the project to describe.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The name of the project.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.Project
-
The name of the project.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The name of the project.
- getProjectName() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The name of the project.
- getProjectStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The status of the project.
- getProjectStatus() - Method in class com.amazonaws.services.sagemaker.model.Project
-
The status of the project.
- getProjectStatus() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The status of the project.
- getProjectSummaryList() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
A list of summaries of projects.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of properties to add to the action.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of properties to add to the artifact.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of properties to add to the context.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
A list of the action's properties.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
A list of the artifact's properties.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
A list of the context's properties.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new list of properties.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new list of properties.
- getProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new list of properties.
- getPropertiesToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
A list of properties to remove.
- getPropertiesToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
A list of properties to remove.
- getPropertiesToRemove() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
A list of properties to remove.
- getPropertyName() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the SageMaker console.
- getPropertyNameHint() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that begins a property's name.
- getPropertyNameQuery() - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
Defines a property name hint.
- getPropertyNameSuggestions() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- getProvisionedConcurrency() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The amount of provisioned concurrency to allocate for the serverless endpoint.
- getProvisionedConcurrency() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated amount of provisioned concurrency to allocate for the serverless endpoint.
- getProvisionedProductId() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The ID of the provisioned product.
- getProvisionedProductStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The current status of the product.
- getProvisioningArtifactId() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the provisioning artifact.
- getProvisioningArtifactId() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
The ID of the provisioning artifact.
- getProvisioningParameters() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
A list of key value pairs that you specify when you provision a product.
- getProvisioningParameters() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
A list of key value pairs that you specify when you provision a product.
- getPublicWorkforceTaskPrice() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
- getPublicWorkforceTaskPrice() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
- getQualityCheck() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of the check step execution.
- getQueryString() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getQueryString() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- getRandomSeed() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
A value used to initialize a pseudo-random number generator.
- getRange() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- getRealTimeInferenceConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The infrastructure configuration for deploying the model to real-time inference.
- getRealTimeInferenceRecommendations() - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
- getReason() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The reason for stopping the experiment.
- getRecommendationId() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The recommendation ID of a previously completed inference recommendation.
- getRecommendationId() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The recommendation ID of a previously completed inference recommendation.
- getRecommendationId() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- getRecommendationId() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- getRecommendationStatus() - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
Status of the deployment recommendation.
- getRecordIdentifierFeatureName() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureStore.
- getRecordIdentifierFeatureName() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the Feature used for RecordIdentifier, whose value uniquely identifies a
record stored in the feature store.
- getRecordIdentifierFeatureName() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureGroup FeatureDefinitions.
- getRecordPreprocessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- getRecordPreprocessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- getRecordPreprocessorSourceUri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- getRecordWrapperType() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- getRedshiftDatasetDefinition() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- getRegex() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- getRegisteredDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of registered devices.
- getRegisterModel() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
- getRegisterNewBaseline() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- getRegisterNewBaseline() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- getRegistrationTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The timestamp of the last registration or de-reregistration.
- getRegistrationTime() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The timestamp of the last registration or de-reregistration.
- getReleaseNotes() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The maintainer description of the image version.
- getReleaseNotes() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The maintainer description of the image version.
- getReleaseNotes() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The maintainer description of the image version.
- getRenderedContent() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- getReport() - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The bias report for a model
- getReport() - Method in class com.amazonaws.services.sagemaker.model.Explainability
-
The explainability report for a model.
- getReportGenerated() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Timestamp of when the report was generated.
- getRepository() - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The repository.
- getRepositoryAccessMode() - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
Set this to one of the following values:
- getRepositoryAuthConfig() - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
(Optional) Specifies an authentication configuration for the private docker registry where your model image is
hosted.
- getRepositoryCredentialsProviderArn() - Method in class com.amazonaws.services.sagemaker.model.RepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to
authenticate to the private Docker registry where your model image is hosted.
- getRepositoryUrl() - Method in class com.amazonaws.services.sagemaker.model.CodeRepository
-
The URL of the Git repository.
- getRepositoryUrl() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- getResolutionTime() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- getResolvedAttributes() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Contains ProblemType, AutoMLJobObjective, and CompletionCriteria.
- getResolvedAttributes() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the resolved attributes used by the AutoML job V2.
- getResolvedImage() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- getResolvedOutputS3Uri() - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 path where offline records are written.
- getResource() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the SageMaker resource to search for.
- getResource() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the SageMaker resource to search for.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- getResourceArn() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- getResourceCatalogArn() - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The Amazon Resource Name (ARN) of the ResourceCatalog.
- getResourceCatalogName() - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The name of the ResourceCatalog.
- getResourceCatalogs() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A list of the requested ResourceCatalogs.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- getResourceConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The training job ResourceConfig to update warm pool retention length.
- getResourceKey() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
- getResourceKey() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
- getResourceLimit() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Defines the resource limit of the job.
- getResourceLimits() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits
object that specifies the maximum number of training and parallel training jobs that can be used for this
hyperparameter tuning job.
- getResourceLimits() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
- getResourcePolicy() - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The resource policy that gives access to the lineage group in another account.
- getResourcePolicy() - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyResult
-
The resource policy for the model group.
- getResourcePolicy() - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The resource policy for the model group.
- getResourceRetainedBillableTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The billable time in seconds used by the warm pool.
- getResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- getResourceSpec() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- getResults() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchRecord objects.
- getRetainAllVariantProperties() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When updating endpoint resources, enables or disables the retention of
variant properties,
such as the instance count or the variant weight.
- getRetainDeploymentConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Specifies whether to reuse the last deployment configuration.
- getRetentionPolicy() - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The retention policy for this domain, which specifies whether resources will be retained after the Domain is
deleted.
- getRetryableError() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- getRetryStrategy() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The number of times to retry the job when the job fails due to an InternalServerError.
- getRetryStrategy() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The number of times to retry the job when the job fails due to an InternalServerError.
- getRetryStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The number of times to retry the job when the job fails due to an InternalServerError.
- getRetryStrategy() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The number of times to retry the job when the job fails due to an InternalServerError.
- getReusedByJob() - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The name of the matching training job that reused the warm pool.
- getRiskRating() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The risk rating of the model.
- getRiskRating() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A model card's risk rating.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
The ARN of the role that is used to access the data.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The ARN of the role that is used to access the data.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact SageMaker Neo.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore
if an OfflineStoreConfig is provided.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The Amazon Resource Name (ARN) of the role needed to call other services on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker assumes this
role to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the
input data location and write permission to the output data location in Amazon S3.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
The ARN of the Identity and Access Management role that has read permission to the input data location and write
permission to the output data location in Amazon S3.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact Neo.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an
OfflineStoreConfig is provided.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for
the flow definition.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided
when you initiated the job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the role that created the pipeline.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) that the pipeline used to execute.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the role used to create the processing job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The Amazon Resource Name (ARN) of the device.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the notebook instance.
- getRoleArn() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- getRollbackMaximumBatchSize() - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for rollback to the old endpoint fleet.
- getRollingUpdatePolicy() - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- getRootAccess() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- getRSessionAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure the RSessionGateway app.
- getRStudioConnectUrl() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Connect server.
- getRStudioConnectUrl() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Connect server.
- getRStudioPackageManagerUrl() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Package Manager server.
- getRStudioPackageManagerUrl() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Package Manager server.
- getRStudioServerProAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure user interaction with the RStudioServerPro app.
- getRStudioServerProDomainSettings() - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
A collection of settings that configure the RStudioServerPro Domain-level app.
- getRStudioServerProDomainSettingsForUpdate() - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
A collection of RStudioServerPro Domain-level app settings to update.
- getRuleConfigurationName() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The name of the rule configuration.
- getRuleConfigurationName() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The name of the rule configuration.
- getRuleConfigurationName() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The name of the rule configuration.
- getRuleConfigurationName() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The name of the rule configuration.
- getRuleEvaluationJobArn() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- getRuleEvaluationJobArn() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- getRuleEvaluationStatus() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Status of the rule evaluation.
- getRuleEvaluationStatus() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Status of the rule evaluation.
- getRuleEvaluatorImage() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
- getRuleEvaluatorImage() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The Amazon Elastic Container Registry Image for the managed rule evaluation.
- getRuleParameters() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Runtime configuration for rule container.
- getRuleParameters() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Runtime configuration for rule container.
- getRunName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of the experiment run to associate with the trial component.
- getRunName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the experiment run.
- getRuntimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConsumedResources
-
The wall clock runtime in seconds used by your hyperparameter tuning job.
- getS3ArtifactPath() - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon S3 bucket used to store artifacts generated by Canvas.
- getS3CompressionType() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container.
- getS3DataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- getS3DataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- getS3DataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or
whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing
instance.
- getS3DataDistributionType() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model
training, specify FullyReplicated.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSource
-
The Amazon S3 location of the input data.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.ModelDataSource
-
Specifies the S3 location of ML model data to deploy.
- getS3DataSource() - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The data type.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether you use an S3Prefix or a ManifestFile for the data type.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the type of ML model data to deploy.
- getS3DataType() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- getS3ExportArtifacts() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportArtifacts
-
The Amazon S3 URI of the exported model artifacts.
- getS3FailurePath() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload failure inference responses to.
- getS3Input() - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for downloading input data from Amazon S3 into the processing container.
- getS3InputMode() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- getS3InputMode() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- getS3InputMode() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to use File or Pipe input mode.
- getS3KmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service
(KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
- getS3KmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts
generated by Canvas in the Amazon S3 bucket.
- getS3ModelArtifacts() - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- getS3Output() - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutput
-
The Amazon S3 storage location where the results of a monitoring job are saved.
- getS3Output() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon S3.
- getS3OutputLocation() - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Simple Storage (S3) bucker URI.
- getS3OutputLocation() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload inference responses to.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Amazon S3 output path.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to Amazon S3 storage location for metrics and tensors.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon S3 path where the object containing human output will be made available.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.HubS3StorageConfig
-
The Amazon S3 bucket prefix for hosting hub content.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportOutputConfig
-
The Amazon S3 output path to export your model card PDF.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want SageMaker to store the model artifacts.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Path to Amazon S3 storage location for system and framework metrics.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Path to Amazon S3 storage location for system and framework metrics.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared
notebook snapshots.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to Amazon S3 storage location for TensorBoard output.
- getS3OutputPath() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- getS3OutputUri() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobCompiledOutputConfig
-
Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
- getS3StorageConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The Amazon S3 storage configuration for the hub.
- getS3StorageConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon S3 storage configuration for the hub.
- getS3StorageConfig() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The Amazon Simple Storage (Amazon S3) location of OfflineStore.
- getS3UploadMode() - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
Whether to upload the results of the monitoring job continuously or after the job completes.
- getS3UploadMode() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
Whether to upload the results of the processing job continuously or after the job completes.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The URL to the Amazon S3 data source.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
Identifies the S3 path where you want SageMaker to store checkpoints.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The Amazon S3 URI for the file source.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The S3 URI for the metrics source.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringConstraintsResource
-
The Amazon S3 URI for the constraints resource.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringGroundTruthS3Input
-
The address of the Amazon S3 location of the ground truth labels.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring
job.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.MonitoringStatisticsResource
-
The Amazon S3 URI for the statistics resource.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing
job.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the S3 path of ML model data to deploy.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 URI, or location in Amazon S3, of OfflineStore.
- getS3Uri() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- getSageMakerImageArn() - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the SageMaker image that the image version belongs to.
- getSageMakerImageVersionAliases() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A list of SageMaker image version aliases.
- getSageMakerImageVersionArn() - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the image version created on the instance.
- getSagemakerServicecatalogPortfolioStatus(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getSagemakerServicecatalogPortfolioStatus(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Gets the status of Service Catalog in SageMaker.
- getSagemakerServicecatalogPortfolioStatus(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Gets the status of Service Catalog in SageMaker.
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest, AsyncHandler<GetSagemakerServicecatalogPortfolioStatusRequest, GetSagemakerServicecatalogPortfolioStatusResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Gets the status of Service Catalog in SageMaker.
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest, AsyncHandler<GetSagemakerServicecatalogPortfolioStatusRequest, GetSagemakerServicecatalogPortfolioStatusResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Gets the status of Service Catalog in SageMaker.
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest, AsyncHandler<GetSagemakerServicecatalogPortfolioStatusRequest, GetSagemakerServicecatalogPortfolioStatusResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetSagemakerServicecatalogPortfolioStatusRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetSagemakerServicecatalogPortfolioStatusRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusRequest
-
- GetSagemakerServicecatalogPortfolioStatusResult - Class in com.amazonaws.services.sagemaker.model
-
- GetSagemakerServicecatalogPortfolioStatusResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
- getSamplePayloadUrl() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- getSamplePayloadUrl() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
- getSamplePayloadUrl() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- getSamplePayloadUrl() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Simple Storage Service path where the sample payload are stored.
- getSamplePayloadUrl() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- getSampleWeightAttributeName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- getSampleWeightAttributeName() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- getSamplingDeviceCount() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices with this model version and are producing sample data.
- getSamplingPercentage() - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow
variant.
- getScaleInCooldown() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale in cooldown time for your autoscaling policy.
- getScaleOutCooldown() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale out cooldown time for your autoscaling policy.
- getScalingConfigurationRecommendation(GetScalingConfigurationRecommendationRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getScalingConfigurationRecommendation(GetScalingConfigurationRecommendationRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
- getScalingConfigurationRecommendation(GetScalingConfigurationRecommendationRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest, AsyncHandler<GetScalingConfigurationRecommendationRequest, GetScalingConfigurationRecommendationResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest, AsyncHandler<GetScalingConfigurationRecommendationRequest, GetScalingConfigurationRecommendationResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest, AsyncHandler<GetScalingConfigurationRecommendationRequest, GetScalingConfigurationRecommendationResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetScalingConfigurationRecommendationRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetScalingConfigurationRecommendationRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
- GetScalingConfigurationRecommendationResult - Class in com.amazonaws.services.sagemaker.model
-
- GetScalingConfigurationRecommendationResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
- getScalingPolicies() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
An object of the scaling policies for each metric.
- getScalingPolicyObjective() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
An object where you specify the anticipated traffic pattern for an endpoint.
- getScalingPolicyObjective() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
- getScalingType() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- getScalingType() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- getSchedule() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The duration for which you want the inference experiment to run.
- getSchedule() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The duration for which the inference experiment ran or will run.
- getSchedule() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The duration for which the inference experiment ran or will run.
- getSchedule() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The duration for which the inference experiment will run.
- getScheduleConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Configures the monitoring schedule.
- getScheduledTime() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time the monitoring job was scheduled.
- getScheduledTimeAfter() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled after a specified time.
- getScheduledTimeBefore() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled before a specified time.
- getScheduleExpression() - Method in class com.amazonaws.services.sagemaker.model.ScheduleConfig
-
A cron expression that describes details about the monitoring schedule.
- getSearchExpression() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
One or more filters that searches for the specified resource or resources in a search.
- getSearchExpression() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
An auto-complete API for the search functionality in the SageMaker console.
- getSearchSuggestions(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
An auto-complete API for the search functionality in the SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
An auto-complete API for the search functionality in the SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
An auto-complete API for the search functionality in the SageMaker console.
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- getSearchSuggestionsAsync(GetSearchSuggestionsRequest, AsyncHandler<GetSearchSuggestionsRequest, GetSearchSuggestionsResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- GetSearchSuggestionsRequest - Class in com.amazonaws.services.sagemaker.model
-
- GetSearchSuggestionsRequest() - Constructor for class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
- GetSearchSuggestionsResult - Class in com.amazonaws.services.sagemaker.model
-
- GetSearchSuggestionsResult() - Constructor for class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
- getSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- getSecondaryStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- getSecondaryStatusTransitions() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- getSecondaryStatusTransitions() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- getSecretArn() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- getSecretArn() - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- getSecretArn() - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider,
such as the client ID and secret, authorization URL, and token URL.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The security configuration for traffic encryption or Amazon VPC settings.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The security configuration for traffic encryption or Amazon VPC settings.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated
workloads with highly sensitive data.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the security configuration for traffic encryption or Amazon VPC settings.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The security configuration used to protect model card content.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The security configuration used to protect model card data.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The KMS Key ID (KMSKeyId) for encryption of model card information.
- getSecurityConfig() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.
- getSecurityGroupIdForDomainBoundary() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the security group that authorizes traffic between the RSessionGateway apps and the
RStudioServerPro app.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The VPC security group IDs.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The VPC security group IDs.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroupIds() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- getSecurityGroups() - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The security group IDs for the Amazon Virtual Private Cloud that the space uses for communication.
- getSecurityGroups() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- getSecurityGroups() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- getSeed() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The starting value used to initialize the random number generator in the explainer.
- getSeed() - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- getSelectedSteps() - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
A list of pipeline steps to run.
- getSelectiveExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The selective execution configuration applied to the pipeline run.
- getSelectiveExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The selective execution configuration applied to the pipeline run.
- getSelectiveExecutionConfig() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The selective execution configuration applied to the pipeline run.
- getSelectiveExecutionResult() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The ARN from an execution of the current pipeline from which results are reused for this step.
- getSellerName() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- getServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
- getServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
- getServerlessConfig() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The serverless configuration for an endpoint.
- getServerlessUpdateConfig() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Specifies the serverless update concurrency configuration for an endpoint variant.
- getServiceCatalogProvisionedProductDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information about a provisioned service catalog product.
- getServiceCatalogProvisionedProductDetails() - Method in class com.amazonaws.services.sagemaker.model.Project
-
- getServiceCatalogProvisioningDetails() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- getServiceCatalogProvisioningDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information used to provision a service catalog product.
- getServiceCatalogProvisioningDetails() - Method in class com.amazonaws.services.sagemaker.model.Project
-
- getServiceCatalogProvisioningUpdateDetails() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- getSessionExpirationDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The session expiration duration in seconds.
- getSessionExpirationDurationInSeconds() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- getSet() - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The dataset split from which the AutoML job produced the metric.
- getShadowModeConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- getShadowModeConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The configuration of ShadowMode inference experiment type, which shows the production variant that
takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests.
- getShadowModeConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- getShadowModelVariantName() - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The name of the shadow variant.
- getShadowModelVariants() - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
List of shadow variant configurations.
- getShadowProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- getShadowProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- getShadowProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
An array of
ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode
with production traffic replicated from the model specified on
ProductionVariants.
- getShadowProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the shadow variants hosted on the endpoint.
- getShadowProductionVariants() - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
An array of
PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with
production traffic replicated from the model specified on
ProductionVariants for the in-progress
deployment.
- getShapBaseline() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The inline SHAP baseline data in string format.
- getShapBaselineConfig() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
- getShapBaselineUri() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored.
- getShapConfig() - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The configuration for SHAP analysis.
- getSharingSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
Specifies options for sharing SageMaker Studio notebooks.
- getShuffleConfig() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- getSingleSignOnManagedApplicationInstanceId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The IAM Identity Center managed application instance ID.
- getSingleSignOnUserIdentifier() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A specifier for the type of value specified in SingleSignOnUserValue.
- getSingleSignOnUserIdentifier() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user identifier.
- getSingleSignOnUserValue() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The username of the associated Amazon Web Services Single Sign-On User for this UserProfile.
- getSingleSignOnUserValue() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user value.
- getSkipCheck() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- getSkipCheck() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- getSnsDataSource() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
An Amazon SNS data source used for streaming labeling jobs.
- getSnsTopicArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
An Amazon Simple Notification Service (Amazon SNS) output topic ARN.
- getSnsTopicArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSnsDataSource
-
The Amazon SNS input topic Amazon Resource Name (ARN).
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The column to sort by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The column by which to sort the edge deployment plans.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Use to specify what column to sort by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The value on which the feature group list is sorted.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hub content versions by either name or creation time.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by either name or creation time.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by either name or creation time.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The column by which to sort the listed inference experiments.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by either name or creation time.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by either name or creation time.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort listed model card versions by version.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The field used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The field by which to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The field by which to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The field by which to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The value on which the resource catalog list is sorted.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The property used to sort results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The parameter by which to sort the results.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces using the workforce name or creation date.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- getSortBy() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
What direction to sort in.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The direction of the sorting (ascending or descending).
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
What direction to sort by.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The order in which feature groups are listed.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hubs by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The direction of sorting (ascending or descending).
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort model card versions by ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The sort order, whether Ascending or Descending, of the alert history.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort the results in Ascending or Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort the results in Ascending or Descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The field by which to sort results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The order in which the resource catalogs are listed.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The sort order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The sort order for the results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces in ascending or descending order.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- getSortOrder() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The source of the action.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The source of the artifact.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The source of the context.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The source type, ID, and URI.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The ID, ID type, and URI of the source.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The source type, ID, and URI.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The URI of the source.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The source of the action.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The source of the artifact.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The source of the context.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the type.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- getSource() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- getSource() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- getSource() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) and job type of the source of the component.
- getSourceAlgorithms() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- getSourceAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- getSourceAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- getSourceAlgorithmSpecification() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of algorithms that were used to create a model package.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The ARN of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The ARN of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The ARN of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The ARN of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The ARN of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The Amazon Resource Name (ARN) of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source ARN.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that have the specified source Amazon Resource Name (ARN).
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The Amazon Resource Name (ARN) of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source Amazon Resource Name (ARN).
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
The Amazon Resource Name (ARN) of the source.
- getSourceArn() - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The Amazon Resource Name (ARN) of the source.
- getSourceDetail() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Details of the source of the component.
- getSourceId() - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The ID of the source.
- getSourceId() - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The ID of the source.
- getSourceIdentity() - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The person or application which assumes the IAM identity.
- getSourceIdType() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The type of ID.
- getSourceIpConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
- getSourceIpConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
A list of one to ten worker IP address ranges (
CIDRs) that can be used to access
tasks assigned to this workforce.
- getSourceIpConfig() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
A list of one to ten IP address ranges (
CIDRs) to be added to the workforce
allow list.
- getSourceModelVariantName() - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
The name of the production variant, which takes all the inference requests.
- getSourceName() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the source.
- getSourcePipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.CacheHitResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- getSourcePipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
The ARN from a reference execution of the current pipeline.
- getSourcePipelineExecutionArn() - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionResult
-
The ARN from an execution of the current pipeline.
- getSources() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The type of the source.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The source type.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The type of the source.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The source type.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source type.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source job type.
- getSourceType() - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The source job type.
- getSourceTypes() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
A list of source types.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The URI of the source.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
The URI of the source.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The URI of the source.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions with the specified source URI.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts with the specified source URI.
- getSourceUri() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts with the specified source URI.
- getSpaceArn() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceResult
-
The space's Amazon Resource Name (ARN).
- getSpaceArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The space's Amazon Resource Name (ARN).
- getSpaceArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceResult
-
The space's Amazon Resource Name (ARN).
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The name of the space.
- getSpaceName() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The name of the space.
- getSpaceNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter by which to filter the results.
- getSpaceNameEquals() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by space name.
- getSpaces() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
The list of spaces.
- getSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
A collection of space settings.
- getSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
A collection of space settings.
- getSpaceSettings() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
A collection of space settings.
- getSpawnRate() - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specified how many new users to spawn in a minute.
- getSpecifiedImage() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- getSplitType() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- getSqsQueueUrl() - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the stage.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
The name of the stage.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
The name of the stage.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the stage in the edge deployment plan.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the stage in the deployment.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the stage to start.
- getStageName() - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the stage to stop.
- getStages() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of stages of the edge deployment plan.
- getStages() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
List of stages to be added to the edge deployment plan.
- getStages() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of stages in the edge deployment plan.
- getStageStatus() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The general status of the current stage.
- getStairs() - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the stairs traffic pattern.
- getStandardMetricName() - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the standard metric.
- getStandardMetricName() - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the standard metric.
- getStartArns() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component started.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component started.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment started or will start.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The start time of the deployment.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step started executing.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The start time of the pipeline execution.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The start time of the current status change.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component started.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component started.
- getStartTime() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component started.
- getStartTimeOffset() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs substract this time from the start time.
- getStartTimeOffset() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the start time.
- getStaticHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- getStatistic() - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The statistic of the customized metric.
- getStatistics() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality statistics.
- getStatistics() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality statistics.
- getStatistics() - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality statistics for a model.
- getStatistics() - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality statistics.
- getStatisticsResource() - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- getStatisticsResource() - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The status of the action.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The status of the action.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The status of the component.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The status of the action.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The status of the inference experiment.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The status of the job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The completion status of the model card export job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The status of the component.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The status of the deployable resource.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
Whether Service Catalog is enabled or disabled in SageMaker.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The status of the inference experiment.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The status of the job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The current status of the benchmark.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
A value that indicates whether the update was made successful.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return benchmarks of a specified status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The completion status of the model card export job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The status of deployment for the model variant on the hosted inference endpoint.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
An OfflineStore status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The endpoint variant status which describes the current deployment stage status or operational status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
Describes whether time series forecasting is enabled or disabled in the Canvas application.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The status of the component.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new status for the action.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The new status of the component.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The status.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The status of the warm pool.
- getStatus() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The status of your workforce.
- getStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Details from the rule evaluation.
- getStatusDetails() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Details from the rule evaluation.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The job status to filter for.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which are in this status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that retrieves only inference recommendations jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that retrieves only alerts with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that retrieves only jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that retrieves only processing jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- getStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- getStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
Returns a message describing the status of the deployed resource.
- getStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
A message that describes the status of the production variant.
- getStatusMessage() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- getStatusReason() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The error message or client-specified
Reason from the
StopInferenceExperiment API, that explains the status of the inference experiment.
- getStatusReason() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The error message for the inference experiment status result.
- getStdDev() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The standard deviation of the metric.
- getStepDescription() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The description of the step.
- getStepDisplayName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The display name of the step.
- getStepId() - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster step.
- getStepName() - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The name of the EMR cluster step.
- getStepName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The name of the step that is executed.
- getStepName() - Method in class com.amazonaws.services.sagemaker.model.SelectedStep
-
The name of the pipeline step.
- getSteps() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A list of all subtask details in Inference Recommender.
- getStepStatus() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The status of the step execution.
- getStepType() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The type of the subtask.
- getStepType() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return details about the specified type of subtask.
- getStopped() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The time limit for how long the processing job is allowed to run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time limit for how long the processing job is allowed to run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies a time limit for how long the monitoring job is allowed to run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- getStoppingCondition() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A set of conditions for stopping a recommendation job.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The stopping conditions that you provided when you initiated the job.
- getStoppingConditions() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- getStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- getStrategy() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each
iteration.
- getStrategyConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The configuration for the Hyperband optimization strategy.
- getStringValue() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The string value of a categorical hyperparameter.
- getStudioLifecycleConfigAppType() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The App type that the Lifecycle Configuration is attached to.
- getStudioLifecycleConfigAppType() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The App type that the Lifecycle Configuration is attached to.
- getStudioLifecycleConfigAppType() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The App type to which the Lifecycle Configuration is attached.
- getStudioLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigResult
-
The ARN of your created Lifecycle Configuration.
- getStudioLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The ARN of the Lifecycle Configuration to describe.
- getStudioLifecycleConfigArn() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration.
- getStudioLifecycleConfigContent() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The content of your Studio Lifecycle Configuration script.
- getStudioLifecycleConfigContent() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The content of your Studio Lifecycle Configuration script.
- getStudioLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to create.
- getStudioLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DeleteStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to delete.
- getStudioLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to describe.
- getStudioLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The name of the Studio Lifecycle Configuration that is described.
- getStudioLifecycleConfigName() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The name of the Studio Lifecycle Configuration.
- getStudioLifecycleConfigs() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
A list of Lifecycle Configurations and their properties.
- getSubDomain() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The subdomain for your OIDC Identity Provider.
- getSubDomain() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- getSubExpressions() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- getSubnetId() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- getSubnetId() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- getSubnetIds() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The VPC subnets that Studio uses for communication.
- getSubnetIds() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The VPC subnets that Studio uses for communication.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in
Amazon S3.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The ID of the subnets in the VPC to which you want to connect your model.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the subnets in the VPC that you want to connect.
- getSubnets() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the subnets in the VPC that you want to connect.
- getSubscribedWorkteam() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- getSubscribedWorkteams() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- getSucceeded() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- getSuccess() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- getSuccessTopic() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference completes successfully.
- getSuggestionQuery() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- getSupportedCompressionTypes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the input data.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- getSupportedContentTypes() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The supported MIME types for the input data.
- getSupportedEndpointType() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The endpoint type to receive recommendations for.
- getSupportedHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- getSupportedInputModes() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- getSupportedInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
A list of the instance types that are used to generate inferences in real-time.
- getSupportedRealtimeInferenceInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types that are used to generate inferences in real-time.
- getSupportedRealtimeInferenceInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- getSupportedResponseMIMETypes() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the output data.
- getSupportedResponseMIMETypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- getSupportedResponseMIMETypes() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The supported MIME types for the output data.
- getSupportedTrainingInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- getSupportedTransformInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- getSupportedTransformInstanceTypes() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- getSupportedTuningJobObjectiveMetrics() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- getSupportsDistributedTraining() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- getTableFormat() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Format for the offline store table.
- getTableName() - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table.
- getTabularJobConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a tabular problem type (regression, classification).
- getTabularResolvedAttributes() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeResolvedAttributes
-
Defines the resolved attributes for the TABULAR problem type.
- getTagKeys() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the SageMaker resource.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of tags to apply to the action.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
A list of tags to apply to the AppImageConfig.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
Each tag consists of a key and an optional value.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of tags to apply to the artifact.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of tags to apply to the context.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Creates tags for the specified fleet.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Tags to associated with the Domain.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of tags with which to tag the edge deployment plan.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Creates tags for the packaging job.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
A list of tags to associate with the experiment.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Tags used to identify Features in each FeatureGroup.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
Any tags to associate with the hub.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow
user interface.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
A list of tags to apply to the image.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
Array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
Key-value pairs used to manage metadata for model cards.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A list of key value pairs associated with the model group.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A list of key value pairs associated with the model.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A list of tags to apply to the created pipeline.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
Tags to associated with the space.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
Tags to be associated with the Lifecycle Configuration.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
A list of tags to associate with the component.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
A list of tags to associate with the trial.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
Each tag consists of a key and an optional value.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize our workforce.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the tags associated with the endpoint.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The list of tags that are associated with the experiment.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
Tags used to define a FeatureGroup.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The tags associated with a hyperparameter tuning job.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
Any tags associated with the hub content.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Model
-
A list of key-value pairs associated with the model.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
Key-value pairs used to manage metadata for the model card.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The tags associated with a model card.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of the tags associated with the model package.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
A list of the tags associated with the model group.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
A list of the tags associated with the monitoring schedlue.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
A list of tags that apply to the pipeline.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Project
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The tags associated with devices.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A list of tags associated with the transform job.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The list of tags that are associated with the trial.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The list of tags that are associated with the component.
- getTags() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
An array of key-value pairs.
- getTargetAttributeName() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The name of the target variable in supervised learning, usually represented by 'y'.
- getTargetAttributeName() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The name of the target variable in supervised learning, usually represented by 'y'.
- getTargetAttributeName() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column representing the target variable that you want to predict for each item in your dataset.
- getTargetCpuUtilizationPerCore() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The percentage of how much utilization you want an instance to use before autoscaling.
- getTargetCpuUtilizationPerCore() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the
request.
- getTargetDevice() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the target device or the machine learning instance that you want to run your model on after the
compilation has completed.
- getTargetLabelColumn() - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the class labels.
- getTargetObjectiveMetricValue() - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
The value of the objective metric.
- getTargetPlatform() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
- getTargetTracking() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicy
-
A target tracking scaling policy.
- getTargetValue() - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
The recommended target value to specify for the metric when creating a scaling policy.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning task your model package accomplishes.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning task you specified that your model package accomplishes.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning task of the model.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning task your model package accomplishes.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning task that the model accomplishes.
- getTask() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- getTaskAvailabilityLifetimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The length of time that a task remains available for review by human workers.
- getTaskAvailabilityLifetimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labeling by human workers.
- getTaskCount() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The number of distinct workers who will perform the same task on each object.
- getTaskDescription() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A description for the human worker task.
- getTaskDescription() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- getTaskKeywords() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Keywords used to describe the task so that workers can discover the task.
- getTaskKeywords() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- getTaskTimeLimitInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The amount of time that a worker has to complete a task.
- getTaskTimeLimitInSeconds() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- getTaskTitle() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A title for the human worker task.
- getTaskTitle() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- getTensorBoardAppSettings() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The TensorBoard app settings.
- getTensorBoardOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- getTensorBoardOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- getTensorBoardOutputConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- getTenthFractionsOfACent() - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- getTerminationWaitInSeconds() - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old
endpoint fleet.
- getTextClassificationJobConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the text classification problem type.
- getTextConfig() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
- getTimeSeriesConfig() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The collection of components that defines the time-series.
- getTimeSeriesForecastingJobConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a time-series forecasting problem type.
- getTimeSeriesForecastingSettings() - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
Time series forecast settings for the Canvas application.
- getTimestamp() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- getTimeStamp() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
When the metric was last updated.
- getTimestampAttributeName() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column indicating a point in time at which the target value of a given item is recorded.
- getTokenEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP token endpoint used to configure your private workforce.
- getTokenEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP token endpoint used to configure your private workforce.
- getTotal() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- getTotalLabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- getTrafficPattern() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the traffic pattern of the job.
- getTrafficRoutingConfiguration() - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint
deployment.
- getTrafficType() - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the traffic patterns.
- getTrainingChannels() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- getTrainingEndTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- getTrainingImage() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- getTrainingImageConfig() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The configuration to use an image from a private Docker registry for a training job.
- getTrainingImageDigest() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
- getTrainingInputMode() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- getTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- getTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a training job.
- getTrainingJob() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a training job that's the source of a trial component.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a training job associated with this processing job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the training job associated with this processing job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that SageMaker runs to validate
your algorithm.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches,
including static hyperparameters, input data configuration, output data configuration, resource configuration,
and stopping condition.
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getTrainingJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getTrainingJobDefinitionName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The training job definition name.
- getTrainingJobDefinitions() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
- getTrainingJobDefinitions() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- getTrainingJobDefinitions() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The job definitions included in a hyperparameter tuning job.
- getTrainingJobEarlyStoppingType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- getTrainingJobName() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The name of a training job to update the Debugger profiling configuration.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- getTrainingJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- getTrainingJobStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this
tuning job launched.
- getTrainingJobStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getTrainingJobStatusCounters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that
this tuning job launched.
- getTrainingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary
objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob
request returned.
- getTrainingJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- getTrainingRepositoryAccessMode() - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
The method that your training job will use to gain access to the images in your private Docker registry.
- getTrainingRepositoryAuthConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
An object containing authentication information for a private Docker registry containing your training images.
- getTrainingRepositoryCredentialsProviderArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingRepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function used to give SageMaker access
credentials to your private Docker registry.
- getTrainingSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- getTrainingSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- getTrainingStartTime() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- getTrainingTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The training time in seconds.
- getTrainingTimeInSeconds() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The training time in seconds.
- getTransformations() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The transformations modifying specific attributes of the time-series, such as filling strategies for missing
values.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job has been completed, or has stopped or failed.
- getTransformEndTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getTransformInput() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- getTransformJob() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- getTransformJob() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a transform job that's the source of a trial component.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobArn() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- getTransformJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that SageMaker runs to validate
your algorithm.
- getTransformJobDefinition() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the batch transform job to stop.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the transform job.
- getTransformJobName() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- getTransformJobStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- getTransformJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The status of the transform job.
- getTransformJobStatus() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- getTransformJobSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getTransformOutput() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- getTransformResources() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- getTransformStartTime() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- getTransformStartTime() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job starts on ML instances.
- getTrial() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialResult
-
The Amazon Resource Name (ARN) of the trial that is being deleted.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The Amazon Resource Name (ARN) of the trial.
- getTrialArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- getTrialComponent() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentResult
-
The Amazon Resource Name (ARN) of the component is being deleted.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- getTrialComponentDisplayName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The display name for the trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the component to associated with the trial.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentRequest
-
The name of the component to delete.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentRequest
-
The name of the trial component to describe.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the component to disassociate from the trial.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are associated with the specified trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The name of the trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the trial component.
- getTrialComponentName() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component to update.
- getTrialComponentSource() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- getTrialComponentSource() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
- getTrialComponentSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A list of the summaries of your trial components.
- getTrialComponentSummaries() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
A list of the components associated with the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the trial to associate with.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialRequest
-
The name of the trial to delete.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialRequest
-
The name of the trial to describe.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the trial to disassociate from.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing trial to associate the trial component with.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial.
- getTrialName() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial to update.
- getTrialSource() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
- getTrialSummaries() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A list of the summaries of your trials.
- getTtlDuration() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- getTtlDuration() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfigUpdate
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- getTunedHyperParameters() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- getTuningJob() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- getTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- getTuningJobArn() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- getTuningJobCompletionCriteria() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The tuning job's completion criteria.
- getTuningJobCompletionDetails() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Tuning job completion information returned as the response from a hyperparameter tuning job.
- getTuningJobCompletionDetails() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
Information about either a current or completed hyperparameter tuning job.
- getTuningJobName() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- getTuningObjective() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- getType() - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Specifies the endpoint capacity type.
- getType() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The type of the inference experiment that you want to run.
- getType() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The type of the inference experiment.
- getType() - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The deployment type created by SageMaker Edge Manager.
- getType() - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The type of metric with the best result.
- getType() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
- getType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- getType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- getType() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The type of the inference experiment.
- getType() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments of this type.
- getType() - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Traffic routing strategy type.
- getType() - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of the lineage entity resource.
- getTypes() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn by type.
- getUiConfig() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- getUiTemplate() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
- getUiTemplate() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
- getUiTemplate() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- getUiTemplateS3Uri() - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template, or worker task template.
- getUnit() - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time unit.
- getUnlabeled() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The URL to the created domain.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's URL.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's URL.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter notebook running in your notebook instance.
- getUrl() - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The URL for the user interface template.
- getUseLogit() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model
predictions.
- getUserGroup() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- getUserGroup() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
The level of permissions that the user has within the RStudioServerPro app.
- getUserInfoEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP user information endpoint used to configure your private workforce.
- getUserInfoEndpoint() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP user information endpoint used to configure your private workforce.
- getUserPool() - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
A
user
pool is a user directory in Amazon Cognito.
- getUserPool() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- getUserProfileArn() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- getUserProfileArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- getUserProfileArn() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- getUserProfileArn() - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The Amazon Resource Name (ARN) of the user's profile.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the UserProfile to sign-in as.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A name for the UserProfile.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The user profile name.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The name of the user's profile.
- getUserProfileName() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The user profile name.
- getUserProfileNameContains() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- getUserProfileNameEquals() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by user profile name.
- getUserProfiles() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
The list of user profiles.
- getUserSettings() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A collection of settings.
- getUserSettings() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
A collection of settings.
- getUserSettings() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
A collection of settings.
- getUsersPerStep() - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many new users to spawn in each step.
- getValidationFraction() - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig
-
The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for
validation.
- getValidationProfiles() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that SageMaker runs to validate your algorithm.
- getValidationProfiles() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that SageMaker runs to validate your model package.
- getValidationRole() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that SageMaker uses to run the training jobs.
- getValidationRole() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training
code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference
code.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that SageMaker runs to test the model package.
- getValidationSpecification() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies batch transform jobs that SageMaker runs to validate your model package.
- getValidationStatuses() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- getValidationStatuses() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The ID.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Defines the capacity size, either as a number of instances or a capacity percentage.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The list of values you can pass.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value suggested by the Amazon SageMaker Inference Recommender.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
The value that belongs to a key.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Name and Operator to determine which resources satisfy the filter's
condition.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The value of the metric with the best result.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The value of the metric.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The value to filter the model metadata.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The value of the output parameter.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The literal value for the parameter.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The value of the provisioning parameter.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The location of the artifact.
- getValue() - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time value.
- getValueHint() - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
An example value of the hyperparameter to optimize using Autotune.
- getValueInMilliseconds() - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile value in milliseconds.
- getValues() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- getValues() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- getValueType() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value type suggested by the Amazon SageMaker Inference Recommender.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the production variant (deployed model) made during a recommendation job.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the variant.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the variant.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The name of the variant.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- getVariantName() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- getVariantPropertyType() - Method in class com.amazonaws.services.sagemaker.model.VariantProperty
-
The type of variant property.
- getVariantStatus() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- getVariantStatus() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- getVendorGuidance() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The stability of the image version, specified by the maintainer.
- getVendorGuidance() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The stability of the image version specified by the maintainer.
- getVendorGuidance() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The availability of the image version specified by the maintainer.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
Version of the agent.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The version to delete.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The version of the image.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The version number.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The version number.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The version of the image.
- getVersion() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The version of the image.
- getVersionId() - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Version Id of the pipeline definition file.
- getVertices() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of vertices connected to the start entity(ies) in the lineage graph.
- getViolationReport() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the violation report if violations are detected.
- getViolationReport() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of violation report if violations are detected.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The key used to encrypt stored data.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the
compute instances used to run the training job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference
jobs used for automated data labeling.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the
endpoint.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML
compute instance(s) that run the training job.
- getVolumeKmsKeyId() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs
(optional).
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The size of the ML storage volume, in gigabytes, that you want to provision.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The size of the ML storage volume in gigabytes that you want to provision.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size, in GB, of the ML storage volume attached to individual inference instance associated with the
production variant.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- getVolumeSizeInGB() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The VPC configuration.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object
that specifies the VPC that you want your model to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your training job to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object
that specifies the VPC that this model has access to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object
that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect
to.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.Model
-
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
- getVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- getVpcEndpointId() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
- getVpcId() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- getVpcId() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- getVpcId() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the VPC that the workforce uses for communication.
- getVpcId() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the VPC that the workforce uses for communication.
- getWaitIntervalInSeconds() - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The length of the baking period, during which SageMaker monitors alarms for each batch on the new fleet.
- getWaitIntervalInSeconds() - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
- getWarmPoolStatus() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the warm pool associated with the training job.
- getWarmPoolStatus() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the warm pool associated with the training job.
- getWarmPoolStatusEquals() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific warm pool status.
- getWarmStartConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- getWarmStartConfig() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- getWarmStartConfig() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- getWarmStartType() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- getWorkforce() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceResult
-
A single private workforce, which is automatically created when you create your first private work team.
- getWorkforce() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceResult
-
A single private workforce.
- getWorkforceArn() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceResult
-
The Amazon Resource Name (ARN) of the workforce.
- getWorkforceArn() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The Amazon Resource Name (ARN) of the private workforce.
- getWorkforceArn() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) of the workforce.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
The name of the private workforce.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the workforce.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkforceRequest
-
The name of the workforce.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceRequest
-
The name of the private workforce whose access you want to restrict.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
The name of the private workforce that you want to update.
- getWorkforceName() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The name of the private workforce.
- getWorkforces() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A list containing information about your workforce.
- getWorkforceVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a workforce using VPC.
- getWorkforceVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your VPC configuration for a workforce.
- getWorkforceVpcConfig() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of a VPC workforce.
- getWorkGroup() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- getWorkRequesterAccountId() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The Amazon Web Services account ID of the account used to start the labeling job.
- getWorkspaceSettings() - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The workspace settings for the SageMaker Canvas application.
- getWorkteam() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- getWorkteam() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Amazon Resource Name (ARN) of a team of workers.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- getWorkteamArn() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- getWorkteamName() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- getWorkteams() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- GitConfig - Class in com.amazonaws.services.sagemaker.model
-
Specifies configuration details for a Git repository in your Amazon Web Services account.
- GitConfig() - Constructor for class com.amazonaws.services.sagemaker.model.GitConfig
-
- GitConfigForUpdate - Class in com.amazonaws.services.sagemaker.model
-
Specifies configuration details for a Git repository when the repository is updated.
- GitConfigForUpdate() - Constructor for class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
- S3DataDistribution - Enum in com.amazonaws.services.sagemaker.model
-
- S3DataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the S3 data source.
- S3DataSource() - Constructor for class com.amazonaws.services.sagemaker.model.S3DataSource
-
- S3DataType - Enum in com.amazonaws.services.sagemaker.model
-
- S3ModelDataSource - Class in com.amazonaws.services.sagemaker.model
-
Specifies the S3 location of ML model data to deploy.
- S3ModelDataSource() - Constructor for class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
- S3ModelDataType - Enum in com.amazonaws.services.sagemaker.model
-
- S3StorageConfig - Class in com.amazonaws.services.sagemaker.model
-
The Amazon Simple Storage (Amazon S3) location and and security configuration for OfflineStore.
- S3StorageConfig() - Constructor for class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
- SagemakerServicecatalogStatus - Enum in com.amazonaws.services.sagemaker.model
-
- ScalingPolicy - Class in com.amazonaws.services.sagemaker.model
-
An object containing a recommended scaling policy.
- ScalingPolicy() - Constructor for class com.amazonaws.services.sagemaker.model.ScalingPolicy
-
- ScalingPolicyMetric - Class in com.amazonaws.services.sagemaker.model
-
The metric for a scaling policy.
- ScalingPolicyMetric() - Constructor for class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
- ScalingPolicyObjective - Class in com.amazonaws.services.sagemaker.model
-
An object where you specify the anticipated traffic pattern for an endpoint.
- ScalingPolicyObjective() - Constructor for class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
- ScheduleConfig - Class in com.amazonaws.services.sagemaker.model
-
Configuration details about the monitoring schedule.
- ScheduleConfig() - Constructor for class com.amazonaws.services.sagemaker.model.ScheduleConfig
-
- ScheduleStatus - Enum in com.amazonaws.services.sagemaker.model
-
- search(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- search(SearchRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Finds SageMaker resources that match a search query.
- search(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Finds SageMaker resources that match a search query.
- searchAsync(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- searchAsync(SearchRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Finds SageMaker resources that match a search query.
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Finds SageMaker resources that match a search query.
- searchAsync(SearchRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- searchAsync(SearchRequest, AsyncHandler<SearchRequest, SearchResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- SearchExpression - Class in com.amazonaws.services.sagemaker.model
-
A multi-expression that searches for the specified resource or resources in a search.
- SearchExpression() - Constructor for class com.amazonaws.services.sagemaker.model.SearchExpression
-
- SearchRecord - Class in com.amazonaws.services.sagemaker.model
-
A single resource returned as part of the
Search API response.
- SearchRecord() - Constructor for class com.amazonaws.services.sagemaker.model.SearchRecord
-
- SearchRequest - Class in com.amazonaws.services.sagemaker.model
-
- SearchRequest() - Constructor for class com.amazonaws.services.sagemaker.model.SearchRequest
-
- SearchResult - Class in com.amazonaws.services.sagemaker.model
-
- SearchResult() - Constructor for class com.amazonaws.services.sagemaker.model.SearchResult
-
- SearchSortOrder - Enum in com.amazonaws.services.sagemaker.model
-
- SecondaryStatus - Enum in com.amazonaws.services.sagemaker.model
-
- SecondaryStatusTransition - Class in com.amazonaws.services.sagemaker.model
-
- SecondaryStatusTransition() - Constructor for class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
- SelectedStep - Class in com.amazonaws.services.sagemaker.model
-
A step selected to run in selective execution mode.
- SelectedStep() - Constructor for class com.amazonaws.services.sagemaker.model.SelectedStep
-
- SelectiveExecutionConfig - Class in com.amazonaws.services.sagemaker.model
-
The selective execution configuration applied to the pipeline run.
- SelectiveExecutionConfig() - Constructor for class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
- SelectiveExecutionResult - Class in com.amazonaws.services.sagemaker.model
-
The ARN from an execution of the current pipeline.
- SelectiveExecutionResult() - Constructor for class com.amazonaws.services.sagemaker.model.SelectiveExecutionResult
-
- sendPipelineExecutionStepFailure(SendPipelineExecutionStepFailureRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- sendPipelineExecutionStepFailure(SendPipelineExecutionStepFailureRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
- sendPipelineExecutionStepFailure(SendPipelineExecutionStepFailureRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest, AsyncHandler<SendPipelineExecutionStepFailureRequest, SendPipelineExecutionStepFailureResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest, AsyncHandler<SendPipelineExecutionStepFailureRequest, SendPipelineExecutionStepFailureResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest, AsyncHandler<SendPipelineExecutionStepFailureRequest, SendPipelineExecutionStepFailureResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- SendPipelineExecutionStepFailureRequest - Class in com.amazonaws.services.sagemaker.model
-
- SendPipelineExecutionStepFailureRequest() - Constructor for class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
- SendPipelineExecutionStepFailureResult - Class in com.amazonaws.services.sagemaker.model
-
- SendPipelineExecutionStepFailureResult() - Constructor for class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureResult
-
- sendPipelineExecutionStepSuccess(SendPipelineExecutionStepSuccessRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- sendPipelineExecutionStepSuccess(SendPipelineExecutionStepSuccessRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output
parameters.
- sendPipelineExecutionStepSuccess(SendPipelineExecutionStepSuccessRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output
parameters.
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest, AsyncHandler<SendPipelineExecutionStepSuccessRequest, SendPipelineExecutionStepSuccessResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output
parameters.
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest, AsyncHandler<SendPipelineExecutionStepSuccessRequest, SendPipelineExecutionStepSuccessResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output
parameters.
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest, AsyncHandler<SendPipelineExecutionStepSuccessRequest, SendPipelineExecutionStepSuccessResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- SendPipelineExecutionStepSuccessRequest - Class in com.amazonaws.services.sagemaker.model
-
- SendPipelineExecutionStepSuccessRequest() - Constructor for class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
- SendPipelineExecutionStepSuccessResult - Class in com.amazonaws.services.sagemaker.model
-
- SendPipelineExecutionStepSuccessResult() - Constructor for class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessResult
-
- ServiceCatalogProvisionedProductDetails - Class in com.amazonaws.services.sagemaker.model
-
Details of a provisioned service catalog product.
- ServiceCatalogProvisionedProductDetails() - Constructor for class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
- ServiceCatalogProvisioningDetails - Class in com.amazonaws.services.sagemaker.model
-
Details that you specify to provision a service catalog product.
- ServiceCatalogProvisioningDetails() - Constructor for class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
- ServiceCatalogProvisioningUpdateDetails - Class in com.amazonaws.services.sagemaker.model
-
Details that you specify to provision a service catalog product.
- ServiceCatalogProvisioningUpdateDetails() - Constructor for class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
- setAccelerator(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform accelerator (optional).
- setAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- setAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- setAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- setAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- setAccessStatus(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
Indicates whether the current user has access to the RStudioServerPro app.
- setActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The Amazon Resource Name (ARN) of the action.
- setActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionResult
-
The Amazon Resource Name (ARN) of the action.
- setActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteActionResult
-
The Amazon Resource Name (ARN) of the action.
- setActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the action.
- setActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionResult
-
The Amazon Resource Name (ARN) of the action.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The name of the action.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The name of the action.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteActionRequest
-
The name of the action to delete.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionRequest
-
The name of the action to describe.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The name of the action.
- setActionName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The name of the action to update.
- setActions(MonitoringAlertActions) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A list of alert actions taken in response to an alert going into InAlert status.
- setActionSummaries(Collection<ActionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A list of actions and their properties.
- setActionType(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The type of the action.
- setActionType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The action type.
- setActionType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The type of the action.
- setActionType(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions of the specified type.
- setActiveDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version, a heart beat, and are currently running.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- setAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- setAdditionalCodeRepositoryEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- setAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
An array of additional Inference Specification objects.
- setAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
An array of additional Inference Specification objects.
- setAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
An array of additional Inference Specification objects.
- setAdditionalInferenceSpecificationsToAdd(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
An array of additional Inference Specification objects to be added to the existing array additional Inference
Specification.
- setAgentCount(Long) - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
The number of Edge Manager agents.
- setAgentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Edge Manager agent version.
- setAgentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Edge Manager agent version.
- setAgentVersions(Collection<AgentVersion>) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The versions of Edge Manager agent deployed on the fleet.
- setAggregation(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the aggregation method for a column, where the key is the column name and the value is
the aggregation method.
- setAlarmName(String) - Method in class com.amazonaws.services.sagemaker.model.Alarm
-
The name of a CloudWatch alarm in your account.
- setAlarms(Collection<Alarm>) - Method in class com.amazonaws.services.sagemaker.model.AutoRollbackConfig
-
List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint.
- setAlertStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The current alert status of an alert.
- setAlertStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The current status of an alert.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- setAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- setAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- setAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- setAlgorithmsConfig(Collection<AutoMLAlgorithmConfig>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train the model candidates.
- setAlgorithmsConfig(Collection<AutoMLAlgorithmConfig>) - Method in class com.amazonaws.services.sagemaker.model.CandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- setAlgorithmSpecification(HyperParameterAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- setAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- setAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- setAlgorithmStatusDetails(AlgorithmStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- setAlgorithmSummaryList(Collection<AlgorithmSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- setAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The alias of the image to delete.
- setAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The alias of the image version.
- setAlias(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The alias of the image version.
- setAlias(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The alias of the image version.
- setAliases(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A list of aliases created with the image version.
- setAliasesToAdd(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to add.
- setAliasesToDelete(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to delete.
- setAllocationStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The strategy that determines the order of preference for resources specified in InstanceConfigs used
in hyperparameter optimization.
- setAmazonForecastRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
The IAM role that Canvas passes to Amazon Forecast for time series forecasting.
- setAmountInUsd(USD) - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
- setAnnotationConsolidationConfig(AnnotationConsolidationConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- setAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for
annotation
consolidation and to process output data.
- setAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- setAppArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppResult
-
The Amazon Resource Name (ARN) of the app.
- setAppArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The Amazon Resource Name (ARN) of the app.
- setAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- setAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- setAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- setAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigResult
-
The Amazon Resource Name (ARN) for the AppImageConfig.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The name of the AppImageConfig.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The name of the AppImageConfig.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the AppImageConfig.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppImageConfigRequest
-
The name of the AppImageConfig to delete.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigRequest
-
The name of the AppImageConfig to describe.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The name of the AppImageConfig.
- setAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The name of the AppImageConfig to update.
- setAppImageConfigs(Collection<AppImageConfigDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A list of AppImageConfigs and their properties.
- setAppManaged(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
When True, input operations such as data download are managed natively by the processing job
application.
- setAppManaged(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
When True, output operations such as data upload are managed natively by the processing job
application.
- setAppName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the app.
- setAppName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the app.
- setAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the app.
- setAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the app.
- setAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the app.
- setAppNetworkAccessType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Specifies the VPC used for non-EFS traffic.
- setAppNetworkAccessType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Specifies the VPC used for non-EFS traffic.
- setApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A description provided for the model approval.
- setApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A description provided when the model approval is set.
- setApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
A description for the approval status of the model.
- setApps(Collection<AppDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
The list of apps.
- setAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- setAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- setAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- setAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Configures the processing job to run a specified Docker container image.
- setAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Configures the processing job to run a specified container image.
- setAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setAppType(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The type of app.
- setAppType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The type of app.
- setAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The type of app.
- setAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The type of app.
- setAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The type of app.
- setAppTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A parameter to search for the App Type to which the Lifecycle Configuration is attached.
- setArch(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform architecture.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the inference experiment being described.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The Amazon Resource Name (ARN) of the IAM identity.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelStepMetadata
-
The Amazon Resource Name (ARN) of the created model.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobStepMetadata
-
The Amazon Resource Name (ARN) of the processing job.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.RegisterModelStepMetadata
-
The Amazon Resource Name (ARN) of the model package.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.TuningJobStepMetaData
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- setArn(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The Amazon Resource Name (ARN) of the lineage entity resource.
- setArtifact(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The Amazon Resource Name (ARN) of the generated deployable resource.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The Amazon Resource Name (ARN) of the artifact.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to delete.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to describe.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to update.
- setArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- setArtifactDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDigests
-
Provides a hash value that uniquely identifies the stored model artifacts.
- setArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The name of the artifact.
- setArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The name of the artifact.
- setArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The name of the artifact.
- setArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new name for the artifact.
- setArtifactSummaries(Collection<ArtifactSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A list of artifacts and their properties.
- setArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The type of the artifact.
- setArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The artifact type.
- setArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The type of the artifact.
- setArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts of the specified type.
- setAssembleWith(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- setAssociationSummaries(Collection<AssociationSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A list of associations and their properties.
- setAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The type of association.
- setAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The type of the association.
- setAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The type of the Association(Edge) between the source and destination.
- setAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations of the specified type.
- setAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Specifies configuration for how an endpoint performs asynchronous inference.
- setAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- setAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- setAthenaDatasetDefinition(AthenaDatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- setAttemptCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The current attempt of the execution step.
- setAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- setAuthMode(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The mode of authentication that members use to access the domain.
- setAuthMode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's authentication mode.
- setAuthorizationEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- setAuthorizationEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- setAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlResult
-
The presigned URL.
- setAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- setAutoGenerateEndpointName(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment;
set to False otherwise.
- setAutoMLAlgorithms(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
- setAutoMLJob(AutoMLJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The ARN of the AutoML job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobResult
-
The unique ARN assigned to the AutoML job when it is created.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Result
-
The unique ARN assigned to the AutoMLJob when it is created.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the ARN of the AutoML job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the Amazon Resource Name (ARN) of the AutoML job V2.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of an AutoML job associated with this processing job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of an AutoML job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the AutoML transform job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the job.
- setAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
- setAutoMLJobArtifacts(AutoMLJobArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns information on the job's artifacts found in AutoMLJobArtifacts.
- setAutoMLJobArtifacts(AutoMLJobArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
- setAutoMLJobConfig(AutoMLJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
A collection of settings used to configure an AutoML job.
- setAutoMLJobConfig(AutoMLJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the configuration for the AutoML job.
- setAutoMLJobInputDataConfig(Collection<AutoMLJobChannel>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of channel objects describing the input data and their location.
- setAutoMLJobInputDataConfig(Collection<AutoMLJobChannel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns an array of channel objects describing the input data and their location.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The name of the AutoML job you are requesting.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Identifies an Autopilot job.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Identifies an Autopilot job.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobRequest
-
Requests information about an AutoML job using its unique name.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the name of the AutoML job.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Request
-
Requests information about an AutoML job V2 using its unique name.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the AutoML job V2.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates created for the job by providing the job's name.
- setAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopAutoMLJobRequest
-
The name of the object you are requesting.
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies a metric to minimize or maximize as the objective of a job.
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies a metric to minimize or maximize as the objective of a job.
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's objective.
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's objective.
- setAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- setAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The secondary status of the AutoML job.
- setAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the secondary status of the AutoML job.
- setAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the secondary status of the AutoML job V2.
- setAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The status of the AutoML job.
- setAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the status of the AutoML job.
- setAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the status of the AutoML job V2.
- setAutoMLJobSummaries(Collection<AutoMLJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
Returns a summary list of jobs.
- setAutoMLProblemTypeConfig(AutoMLProblemTypeConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Defines the configuration settings of one of the supported problem types.
- setAutoMLProblemTypeConfig(AutoMLProblemTypeConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of the problem type set for the AutoML job V2.
- setAutoMLProblemTypeConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the problem type configuration set for the AutoML job V2.
- setAutoMLProblemTypeResolvedAttributes(AutoMLProblemTypeResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
Defines the resolved attributes specific to a problem type.
- setAutoParameters(Collection<AutoParameter>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for
your tuning job.
- setAutoRollbackConfiguration(AutoRollbackConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Automatic rollback configuration for handling endpoint deployment failures and recovery.
- setAutotune(Autotune) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following
fields:
- setAutotune(Autotune) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
- setAvg(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The average value of the metric.
- setAwsManagedHumanLoopRequestSource(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopRequestSource
-
Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source.
- setBacktestResults(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window.
- setBaseImage(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The registry path of the container image to use as the starting point for this version.
- setBaseImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image on which this image version is based.
- setBaselineConfig(MonitoringBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
- setBaselineUsedForDriftCheckConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of baseline constraints file to be used for the drift check.
- setBaselineUsedForDriftCheckConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline constraints file used for the drift check.
- setBaselineUsedForDriftCheckStatistics(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline statistics file used for the drift check.
- setBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
The name of the job that performs baselining for the data quality monitoring job.
- setBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
The name of the baseline model bias job.
- setBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
The name of the baseline model explainability job.
- setBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- setBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- setBatchDescribeModelPackageErrorMap(Map<String, BatchDescribeModelPackageError>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing
the model package.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- setBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- setBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
Input object for the batch transform job.
- setBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Input object for the batch transform job.
- setBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
Input object for the batch transform job.
- setBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
Input object for the batch transform job.
- setBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
Input object for the batch transform job.
- setBestCandidate(AutoMLCandidate) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest
InferenceLatency for
an experiment.
- setBestCandidate(AutoMLCandidate) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Information about the candidate produced by an AutoML training job V2, including its status, steps, and other
properties.
- setBestObjectiveNotImproving(BestObjectiveNotImproving) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to stop your hyperparameter tuning job if model performance fails to improve as evaluated against an
objective function.
- setBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setBias(DriftCheckBias) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
- setBias(Bias) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure bais in a model.
- setBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The billable time in seconds.
- setBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The billable time in seconds.
- setBlockedReason(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
The justification for why the OfflineStoreStatus is Blocked (if applicable).
- setBlueGreenUpdatePolicy(BlueGreenUpdatePolicy) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Update policy for a blue/green deployment.
- setBranch(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- setBucket(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Name of the S3 bucket.
- setCacheHitResult(CacheHitResult) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
If this pipeline execution step was cached, details on the cache hit.
- setCalculatedBaselineConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- setCalculatedBaselineConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- setCalculatedBaselineStatistics(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline statistics file.
- setCallback(CallbackStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output
parameters.
- setCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The pipeline generated token from the Amazon SQS queue.
- setCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
The pipeline generated token from the Amazon SQS queue.
- setCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
The pipeline generated token from the Amazon SQS queue.
- setCanarySize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for the first step to turn on traffic on the new endpoint fleet.
- setCandidateArtifactLocations(CandidateArtifactLocations) - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
- setCandidateDefinitionNotebookLocation(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- setCandidateGenerationConfig(AutoMLCandidateGenerationConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for generating a candidate for an AutoML job (optional).
- setCandidateGenerationConfig(CandidateGenerationConfig) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The configuration information of how model candidates are generated.
- setCandidateMetrics(Collection<MetricDatum>) - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
Information about the candidate metrics for an AutoML job.
- setCandidateName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The name of the candidate.
- setCandidateNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by candidate name.
- setCandidateProperties(CandidateProperties) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The properties of an AutoML candidate job.
- setCandidates(Collection<AutoMLCandidate>) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
Summaries about the AutoMLCandidates.
- setCandidateStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The candidate's status.
- setCandidateStepArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The ARN for the candidate's step.
- setCandidateStepName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The name for the candidate's step.
- setCandidateSteps(Collection<AutoMLCandidateStep>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the candidate's steps.
- setCandidateStepType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
Whether the candidate is at the transform, training, or processing step.
- setCanvasAppSettings(CanvasAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Canvas app settings.
- setCaptureContentTypeHeader(CaptureContentTypeHeader) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Configuration specifying how to treat different headers.
- setCaptureMode(String) - Method in class com.amazonaws.services.sagemaker.model.CaptureOption
-
Specify the boundary of data to capture.
- setCaptureOptions(Collection<CaptureOption>) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Specifies data Model Monitor will capture.
- setCaptureStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is currently functional.
- setCatalog(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setCatalog(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table catalog.
- setCategoricalParameterRanges(Collection<CategoricalParameter>) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameterRanges
-
Specified a list of parameters for each category.
- setCategoricalParameterRanges(Collection<CategoricalParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter
tuning job searches.
- setCategoricalParameterRangeSpecification(CategoricalParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- setCents(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on Amazon Web Services Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on Amazon Web Services Marketplace.
- setCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace.
- setChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- setChannelType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The channel type (optional) is an enum string.
- setChannelType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The type of channel.
- setCheckJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.
- setCheckJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
- setCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Contains information about the output location for managed spot training checkpoint data.
- setCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- setCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- setCheckType(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The type of the Clarify Check step
- setCheckType(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The type of the Quality check step.
- setCidrs(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
- setClarifyCheck(ClarifyCheckStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
Container for the metadata for a Clarify check step.
- setClarifyExplainerConfig(ClarifyExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.ExplainerConfig
-
A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify
explainer.
- setClientConfig(AsyncInferenceClientConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous
inference.
- setClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
The client ID for your Amazon Cognito user pool.
- setClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- setClientId(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client ID used to configure your private workforce.
- setClientId(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP client ID used to configure your private workforce.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- setClientSecret(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client secret used to configure your private workforce.
- setClientToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A unique ID.
- setClientToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A unique token that guarantees that the call to this API is idempotent.
- setClusterConfig(MonitoringClusterConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringResources
-
The configuration for the cluster resources used to run the processing job.
- setClusterConfig(ProcessingClusterConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingResources
-
The configuration for the resources in a cluster used to run the processing job.
- setClusterId(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster.
- setClusterId(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setClusterRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
- setCode(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- setCodeRepositories(Collection<CodeRepository>) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer
application.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- setCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- setCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- setCodeRepositorySummaryList(Collection<CodeRepositorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- setCognitoConfig(CognitoConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure an Amazon Cognito private workforce.
- setCognitoConfig(CognitoConfig) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an Amazon Cognito workforce.
- setCognitoMemberDefinition(CognitoMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- setCollectionConfigurations(Collection<CollectionConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for Amazon SageMaker Debugger tensor collections.
- setCollectionName(String) - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
The name of the tensor collection.
- setCollectionParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
Parameter values for the tensor collection.
- setCommitId(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The commit ID.
- setCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- setCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- setCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the SageMaker Neo compilation job.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The name of the compilation job used to create the recommended model artifacts.
- setCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- setCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- setCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- setCompilationJobSummaries(Collection<CompilationJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- setCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- setCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- setCompilationTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after the compilation job has completed.
- setCompilationTargetPlatformAccelerator(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of accelerator that the model will run on after the compilation job has completed.
- setCompilationTargetPlatformArch(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of architecture that the model will run on after the compilation job has completed.
- setCompilationTargetPlatformOs(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of OS that the model will run on after the compilation job has completed.
- setCompiledOutputConfig(RecommendationJobCompiledOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
Provides information about the output configuration for the compiled model.
- setCompilerOptions(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Specifies additional parameters for compiler options in JSON format.
- setCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- setCompleteOnConvergence(String) - Method in class com.amazonaws.services.sagemaker.model.ConvergenceDetected
-
A flag to stop a tuning job once AMT has detected that the job has converged.
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.ImageClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- setCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
- setCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which the inference experiment was completed.
- setCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job completed.
- setCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was completed.
- setCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job completed.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
You can use Gzip or None.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The allowed compression types depend on the input format and problem type.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The model output compression type.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies how the ML model data is prepared.
- setCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- setCondition(ConditionStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The outcome of the condition evaluation that was run by this step execution.
- setConfigFile(FileSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The bias config file for a model.
- setConfigFile(FileSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The explainability config file for the model.
- setConfigUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
JSON formatted S3 file that defines bias parameters.
- setConfigUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
JSON formatted S3 file that defines explainability parameters.
- setConnectedDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of devices connected with a heartbeat.
- setConnectedDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and have a heart beat.
- setConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The drift check explainability constraints.
- setConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality constraints.
- setConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality constraints.
- setConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality constraints for a model.
- setConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality constraints.
- setConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- setConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
- setConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
- setConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
- setConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
- setConsumedResources(HyperParameterTuningJobConsumedResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setConsumedResources(HyperParameterTuningJobConsumedResources) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The total amount of resources consumed by a hyperparameter tuning job.
- setContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The arguments for a container used to run a training job.
- setContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The arguments for a container used to run a processing job.
- setContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The arguments to send to the container that the monitoring job runs.
- setContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- setContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- setContainerConfig(RecommendationJobContainerConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies mandatory fields for running an Inference Recommender job.
- setContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- setContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The entrypoint for a container used to run a processing job.
- setContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The entrypoint for a container used to run a monitoring job.
- setContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Specifies the entrypoint for a container that the monitoring job runs.
- setContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
Specifies the entrypoint for a container used to run the monitoring job.
- setContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- setContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- setContainerImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image that contains this image version.
- setContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- setContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- setContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- setContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- setContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The containers in the inference pipeline.
- setContainerStartupHealthCheckTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The content of the model card.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The content of the model card.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The content of the model card.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- setContent(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The updated model card content.
- setContentClassifiers(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- setContentColumn(String) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the sentences to be classified.
- setContentDigest(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The digest of the file source.
- setContentDigest(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The hash key used for the metrics source.
- setContentSha256(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The SHA-256 digest of the contents of the template.
- setContentTemplate(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A template string used to format a JSON record into an acceptable model container input.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The content type of the data from the input source.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The content type of the data from the input source.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The type of content stored in the file source.
- setContentType(CaptureContentTypeHeader) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The metric source content type.
- setContentType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- setContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The Amazon Resource Name (ARN) of the context.
- setContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextResult
-
The Amazon Resource Name (ARN) of the context.
- setContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteContextResult
-
The Amazon Resource Name (ARN) of the context.
- setContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the context.
- setContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextResult
-
The Amazon Resource Name (ARN) of the context.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The name of the context.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The name of the context.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteContextRequest
-
The name of the context to delete.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextRequest
-
The name of the context to describe.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The name of the context.
- setContextName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The name of the context to update.
- setContextSummaries(Collection<ContextSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A list of contexts and their properties.
- setContextType(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The type of the context.
- setContextType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The context type.
- setContextType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The type of the context.
- setContextType(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts of the specified type.
- setContinuousParameterRanges(Collection<ContinuousParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter
tuning job searches.
- setContinuousParameterRangeSpecification(ContinuousParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- setConvergenceDetected(ConvergenceDetected) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to top your hyperparameter tuning job if automatic model tuning (AMT) has detected that your model has
converged as evaluated against your objective function.
- setConvergenceDetectedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement
over time based on criteria developed over a wide range of diverse benchmarking tests.
- setCoreDumpConfig(ProductionVariantCoreDumpConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Specifies configuration for a core dump from the model container when the process crashes.
- setCostPerHour(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per hour for the instance.
- setCostPerInference(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per inference for the instance .
- setCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The number of samples used to generate the metric.
- setCpuUtilization(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected CPU utilization at maximum invocations per minute for the instance.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created after a certain point in time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created after a specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created after a specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created after the specified time.
- setCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the create date.
- setCreatedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was created.
- setCreatedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was created.
- setCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The date that the workforce is created.
- setCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created before a certain point in time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created before a specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created before a specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created before the specified time.
- setCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by created date.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who created the experiment.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who created the trial component.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who created the trial.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
Who created the experiment.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Project
-
Who created the project.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who created the trial.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Who created the trial component.
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- setCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who created the trial component.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
When the association was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The creation time of the mortgage package summary.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the creation time of the AutoML job.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the creation time of the AutoML job V2.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The time that the data quality monitoring job definition was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the packaging job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when SageMaker created the FeatureGroup.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the feature was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The timestamp when the flow definition was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The date and time that hub content was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The timestamp when the human task user interface was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you created the inference experiment.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The creation time of lineage group.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The time at which the model bias job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The time at which the model explainability job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The time that the model group was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The time at which the model quality job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The time when the pipeline was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The time when the project was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The creation time of the Studio Lifecycle Configuration.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The time that the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The time a FeatureGroup was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
A timestamp indicating the time of creation time of the FeatureGroup.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The timestamp when SageMaker created the flow definition.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The date and time that the hub content was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
A timestamp when SageMaker created the human task user interface.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The creation time of the lineage group summary.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A timestamp that indicates when the model was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The date and time that the model card version was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
A timestamp that indicates when the endpoint was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The time that the model package was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The time that the model group was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The time that the model group was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
A timestamp that indicates when the first alert transition occurred in an alert history.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time at which the monitoring job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The time that the monitoring job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The time that the monitoring schedule was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The creation time of the monitoring schedule.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The creation time of the pipeline.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The creation time of the pipeline execution.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The creation time of the pipeline.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp specifying when the project was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The time that the project was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The time the ResourceCatalog was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The creation time.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The creation time of the Studio Lifecycle Configuration.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A timestamp that shows when the transform Job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
When the trial was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
When the component was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was created.
- setCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The creation time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where packaging job was created after specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created after this time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created after specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created after a specific date and time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions with a creation time greater than or equal to the specified
timestamp.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces with a creation time greater than or equal to the specified
timestamp.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created after this timestamp.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created after the time specified.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created after a specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created after a specific date and time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or after the specified time.
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- setCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where the edge packaging job was created before specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created before this time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created before specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created before a specific date and time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions that were created before the specified timestamp.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces that were created before the specified timestamp.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created before this timestamp.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created before the time specified.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created before a specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created before a specific date and time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or before the specified time.
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- setCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- setCrossAccountFilterOption(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A cross account filter option.
- setCrossAccountModelRegisterRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
The Amazon Resource Name (ARN) of the SageMaker model registry account.
- setCsv(MonitoringCsvDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The CSV dataset used in the monitoring job.
- setCsvContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as CSV and capture accordingly.
- setCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances associated with the variant.
- setCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- setCurrentSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The percentage of requests being captured by your Endpoint.
- setCurrentServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration for the endpoint.
- setCurrentServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration for the endpoint.
- setCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The weight associated with the variant.
- setCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- setCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The metadata properties associated with the model package versions.
- setCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The metadata properties associated with the model package versions.
- setCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The metadata properties for the model package.
- setCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions.
- setCustomerMetadataPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions to remove.
- setCustomImages(Collection<CustomImage>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- setCustomImages(Collection<CustomImage>) - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
A list of custom SageMaker images that are configured to run as a RSession app.
- setCustomized(CustomizedMetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a customized metric.
- setDataAttributes(LabelingJobDataAttributes) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- setDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table database.
- setDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setDataCaptureConfig(DataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
- setDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configuration to control how SageMaker captures inference data.
- setDataCaptureConfig(DataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- setDataCaptureConfig(DataCaptureConfigSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- setDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Configuration to control how SageMaker captures inference data.
- setDataCaptureConfig(DataCaptureConfigSummary) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
- setDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setDataCapturedDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The Amazon S3 location being used to capture the data.
- setDataCatalogConfig(DataCatalogConfig) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
- setDataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
- setDataExplorationNotebookLocation(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- setDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- setDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.ModelInput
-
The input configuration object for the model.
- setDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- setDatapointsToAlert(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- setDatapointsToAlert(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- setDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used to specify the data to be used for inference in a batch transform job and to associate
the data that is relevant to the prediction results in the output.
- setDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- setDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setDataQualityAppSpecification(DataQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies the container that runs the monitoring job.
- setDataQualityAppSpecification(DataQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
Information about the container that runs the data quality monitoring job.
- setDataQualityBaselineConfig(DataQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Configures the constraints and baselines for the monitoring job.
- setDataQualityBaselineConfig(DataQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The constraints and baselines for the data quality monitoring job definition.
- setDataQualityJobInput(DataQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
A list of inputs for the monitoring job.
- setDataQualityJobInput(DataQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The list of inputs for the data quality monitoring job.
- setDataQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- setDataQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- setDatasetDefinition(DatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for a Dataset Definition input.
- setDatasetFormat(MonitoringDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The dataset format for your batch transform job.
- setDataSource(AutoMLDataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The data source for an AutoML channel.
- setDataSource(AutoMLDataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The data source for an AutoML channel (Required).
- setDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- setDataSource(LabelingJobDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- setDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- setDataSourceName(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The name of the data source that you're connecting to.
- setDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for splitting the input training dataset.
- setDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
This structure specifies how to split the data into train and validation datasets.
- setDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of how the data are split into train and validation datasets.
- setDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- setDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon S3 location and configuration for storing inference request and response data.
- setDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- setDbUser(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- setDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- setDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- setDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- setDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- setDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the debug rule configuration.
- setDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
- setDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the evaluation status of the rules for the training job.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- setDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- setDefaultCodeRepositoryContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- setDefaultGid(Integer) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX group ID (GID).
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
JupyterServer app.
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
KernelGateway app.
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
- setDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- setDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings used to create a space.
- setDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The default settings used to create a space.
- setDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The default settings used to create a space within the Domain.
- setDefaultUid(Integer) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX user ID (UID).
- setDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings to use to create a user profile when UserSettings isn't specified in the call
to the CreateUserProfile API.
- setDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given
UserProfile.
- setDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of settings.
- setDefaultValue(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- setDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The job definition name.
- setDeleteProperties(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
A list of properties to delete.
- setDependencyCopyPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency copy path.
- setDependencyOriginPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency origin path.
- setDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- setDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- setDeployedStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the deployed stage.
- setDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
- setDeploymentConfig(EdgeDeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the deployment details.
- setDeploymentConfig(EdgeDeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the deployment details.
- setDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
- setDeploymentRecommendation(DeploymentRecommendation) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A set of recommended deployment configurations for the model.
- setDeploymentRecommendation(DeploymentRecommendation) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A set of recommended deployment configurations for the model.
- setDeploymentStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The time when the deployment on the device started.
- setDeploymentStatus(EdgeDeploymentStatus) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
General status of the current state.
- setDerivedDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DerivedInformation
-
The data input configuration that SageMaker Neo automatically derived for the model.
- setDerivedInformation(DerivedInformation) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information that SageMaker Neo automatically derived about the model.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A description of the additional Inference specification
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The description of the action.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The description of the context.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
A description of the fleet.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The description of the experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A free-form description of a FeatureGroup.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The description of the image.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
A description for the inference experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The description of the action.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The description of the context.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
A description of the fleet.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
A description of the device.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The description of the experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A free form description of the feature group.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The description you added to describe the feature.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The description of the image.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The description of the inference experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The description of the lineage group.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
Description of the device.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The description of the device.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
A description of the device.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The description of the experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A free form description of a FeatureGroup.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
An optional description that you specify to better describe the feature.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Description of the fleet.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The description of the image.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The description of the inference experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
A free form description of the ResourceCatalog.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new description for the action.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new description for the context.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Description of the fleet.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The description of the experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A description that you can write to better describe the feature.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new description for the image.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The description of the inference experiment.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- setDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- setDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- setDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances requested in this deployment, as specified in the endpoint configuration for the
endpoint.
- setDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- setDesiredModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- setDesiredServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration requested for this deployment, as specified in the endpoint configuration for the
endpoint.
- setDesiredServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration requested for the endpoint update.
- setDesiredState(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The desired state of the experiment after stopping.
- setDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- setDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The requested weight for the variant in this deployment, as specified in the endpoint configuration for the
endpoint.
- setDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- setDesiredWeightsAndCapacities(Collection<DesiredWeightAndCapacity>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- setDestination(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon S3 bucket where the inference request and response data is stored.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The Amazon Resource Name (ARN) of the destination.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
- setDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
- setDestinationName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the destination.
- setDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon S3 location being used to capture the data.
- setDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon S3 location used to capture the data.
- setDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The Amazon S3 location being used to capture the data.
- setDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon S3 bucket to send the core dump to.
- setDestinationType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The destination type.
- setDestinationType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination type.
- setDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Resource Name (ARN) of the device.
- setDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the device.
- setDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Amazon Resource Name (ARN) of the device.
- setDeviceDeploymentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The deployment status of the device.
- setDeviceDeploymentStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The detailed error message for the deployoment status result.
- setDeviceDeploymentSummaries(Collection<DeviceDeploymentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
List of summaries of devices allocated to the stage.
- setDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The The Amazon Resource Name (ARN) of the fleet.
- setDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Amazon Resource Name (ARN) of the device fleet.
- setDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The Amazon Resource Name (ARN) of the device.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The name of the fleet that the device belongs to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The device fleet used for this edge deployment plan.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDeviceFleetRequest
-
The name of the fleet to delete.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The name of the fleet the devices belong to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetRequest
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The name of the fleet the devices belong to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The name of the fleet the device belongs to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The device fleet used for this edge deployment plan.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the fleet to which the device belongs to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Name of the device fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The name of the fleet the device belongs to.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the device fleet used for the deployment.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportRequest
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Filter for fleets containing this name in their device fleet name.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The name of the fleet.
- setDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
The name of the fleet the devices belong to.
- setDeviceFleetNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with a device fleet name containing this name.
- setDeviceFleetSummaries(Collection<DeviceFleetSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
Summary of the device fleet.
- setDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The unique ID of the device.
- setDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The unique identifier of the device.
- setDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
The name of the device.
- setDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the device.
- setDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The unique identifier of the device.
- setDeviceNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
A filter to select devices with names containing this name.
- setDeviceNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The unique IDs of the devices.
- setDeviceNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
List of devices chosen to deploy.
- setDevices(Collection<Device>) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
A list of devices to register with SageMaker Edge Manager.
- setDevices(Collection<Device>) - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
List of devices to register with Edge Manager agent.
- setDeviceSelectionConfig(DeviceSelectionConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the devices in the stage.
- setDeviceSelectionConfig(DeviceSelectionConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the devices in the stage.
- setDeviceStats(DeviceStats) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of devices.
- setDeviceSubsetType(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Type of device subsets to deploy to the current stage.
- setDeviceSummaries(Collection<DeviceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
Summary of devices.
- setDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether SageMaker provides internet access to the notebook instance.
- setDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether SageMaker provides internet access to the notebook instance.
- setDirection(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Associations between lineage entities have a direction.
- setDirectoryPath(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The full path to the directory to associate with the channel.
- setDisableGlueTableCreation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring
an OfflineStore.
- setDisableProfiler(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality.
- setDisableProfiler(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to
True.
- setDisassociateAcceleratorTypes(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- setDisassociateAdditionalCodeRepositories(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- setDisassociateDefaultCodeRepository(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- setDisassociateLifecycleConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The display name of the image.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The display name of the lineage group.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the component as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The display name of the kernel.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The display name of the lineage group summary.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the component as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the component as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new display name for the image.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component as displayed.
- setDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial as displayed.
- setDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The document schema version for the hub content.
- setDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content document schema.
- setDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content schema to import.
- setDollars(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- setDomain(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning domain of your model package and its components.
- setDomain(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning domain of the model package you specified.
- setDomain(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning domain of the model.
- setDomain(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning domain of your model package and its components.
- setDomain(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning domain of the model and its components.
- setDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The Amazon Resource Name (ARN) of the created domain.
- setDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's Amazon Resource Name (ARN).
- setDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's Amazon Resource Name (ARN).
- setDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainResult
-
The Amazon Resource Name (ARN) of the domain.
- setDomainExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
The ARN of the execution role for the RStudioServerPro Domain-level app.
- setDomainExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
The execution role for the RStudioServerPro Domain-level app.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the domain that contains the profile.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The ID of the domain to be updated.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The ID of the associated Domain.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The domain ID.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The domain associated with the user.
- setDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The domain ID.
- setDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search for the domain ID.
- setDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter to search for the Domain ID.
- setDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- setDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A name for the domain.
- setDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain name.
- setDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain name.
- setDomains(Collection<DomainDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
The list of domains.
- setDomainSettings(DomainSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A collection of Domain settings.
- setDomainSettings(DomainSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
A collection of Domain settings.
- setDomainSettingsForUpdate(DomainSettingsForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of DomainSettings configuration values to update.
- setDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- setDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- setDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- setDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how long a traffic phase should be.
- setDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Defines how long each traffic step should be.
- setDynamicScalingConfiguration(DynamicScalingConfiguration) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with the recommended values for you to specify when creating an autoscaling policy.
- setEdgeDeploymentFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices that failed the deployment.
- setEdgeDeploymentFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices that failed the deployment.
- setEdgeDeploymentFailedInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices that failed the deployment in current stage.
- setEdgeDeploymentPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices yet to pick up deployment, or in progress.
- setEdgeDeploymentPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices yet to pick up the deployment, or in progress.
- setEdgeDeploymentPendingInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices yet to pick up the deployment in current stage, or in progress.
- setEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanResult
-
The ARN of the edge deployment plan.
- setEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The ARN of edge deployment plan.
- setEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the edge deployment plan.
- setEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The ARN of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentPlanRequest
-
The name of the edge deployment plan to delete.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the edge deployment plan from which the stage will be deleted.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The name of the deployment plan to describe.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the edge deployment plan.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the edge deployment plan to start.
- setEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the edge deployment plan to stop.
- setEdgeDeploymentPlanSummaries(Collection<EdgeDeploymentPlanSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
List of summaries of edge deployment plans.
- setEdgeDeploymentStageStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The time when the deployment API started.
- setEdgeDeploymentStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
A detailed message about deployment status in current stage.
- setEdgeDeploymentSuccess(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices with the successful deployment.
- setEdgeDeploymentSuccess(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices with the successful deployment.
- setEdgeDeploymentSuccessInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices with the successful deployment in the current stage.
- setEdgePackagingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of the edge packaging job.
- setEdgePackagingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The Amazon Resource Name (ARN) of the edge packaging job.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the edge packaging job.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobRequest
-
The name of the edge packaging job.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the edge packaging job.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The edge packaging job associated with this deployment.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the edge packaging job.
- setEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobRequest
-
The name of the edge packaging job.
- setEdgePackagingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The current status of the packaging job.
- setEdgePackagingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The status of the edge packaging job.
- setEdgePackagingJobStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
Returns a message describing the job status and error messages.
- setEdgePackagingJobSummaries(Collection<EdgePackagingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Summaries of edge packaging jobs.
- setEdges(Collection<Edge>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of edges that connect vertices in the response.
- setEMR(EMRStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of an Amazon EMR step execution.
- setEnableCapture(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Whether data capture should be enabled or disabled (defaults to enabled).
- setEnableCapture(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is enabled or disabled.
- setEnabled(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardIndicatorAction
-
Indicates whether the alert action is turned on.
- setEnableExplanations(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
A JMESPath boolean expression used to filter which records to explain.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
Whether to use traffic encryption between the container layers.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to encrypt all communications between the instances used for the monitoring jobs.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to encrypt all communications between distributed processing jobs.
- setEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- setEnableIotRoleAlias(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- setEnableIotRoleAlias(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- setEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To train models using managed spot training, choose True.
- setEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- setEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- setEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of
on-demand instances.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.Model
-
Isolates the model container.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- setEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- setEnableOnlineStore(Boolean) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Turn OnlineStore off by specifying False for the EnableOnlineStore flag.
- setEnableSageMakerMetricsTimeSeries(Boolean) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
To generate and save time-series metrics during training, set to true.
- setEnableSSMAccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production
variant behind an endpoint.
- setEndpoint(Endpoint) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- setEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the SageMaker endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The endpoint configuration associated with the endpoint.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint configuration.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The name of the endpoint configuration used in the deployment.
- setEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- setEndpointConfigs(Collection<EndpointConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- setEndpointConfiguration(EndpointOutputConfiguration) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the endpoint configuration parameters.
- setEndpointConfiguration(EndpointOutputConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- setEndpointConfigurations(Collection<EndpointInputConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the endpoint configuration to use for a job.
- setEndpointInfo(EndpointInfo) - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
- setEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
- setEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
- setEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
- setEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
- setEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
The endpoint for a monitoring job.
- setEndpointMetadata(EndpointMetadata) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The metadata of the endpoint on which the inference experiment ran.
- setEndpointMetrics(InferenceMetrics) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services
account.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The name of the endpoint for the monitoring job.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInfo
-
The name of a customer's endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
An endpoint in customer's account which has enabled DataCaptureConfig enabled.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the endpoint made during a recommendation job.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of an endpoint benchmarked during a previously completed inference recommendation job.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of an endpoint benchmarked during a previously completed Inference Recommender job.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that lists the data quality job definitions associated with the specified endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Name of the endpoint to monitor for model bias.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Name of the endpoint to monitor for model explainability.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions that are associated with the specified
endpoint.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific endpoint to fetch jobs for.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Name of a specific endpoint to fetch schedules for.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint name.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The endpoint which is monitored.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not
generated automatically.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployResult
-
The name of the endpoint to which the model has been deployed.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the endpoint used to run the monitoring job.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the endpoint that the job monitors.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The endpoint that hosts the model being monitored.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the endpoint using the monitoring schedule.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- setEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing SageMaker endpoint.
- setEndpointPerformances(Collection<EndpointPerformance>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The performance results from running an Inference Recommender job on an existing endpoint.
- setEndpoints(Collection<EndpointSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- setEndpoints(Collection<ModelDashboardEndpoint>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The endpoints that host a model.
- setEndpoints(Collection<EndpointInfo>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Existing customer endpoints on which to run an Inference Recommender job.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The status of the endpoint.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The status of the endpoint.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- setEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint status.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The end time.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The end time of an AutoML job.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component ended.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the end time of the AutoML job.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the end time of the AutoML job V2.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component ended.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment ended or will end.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step stopped executing.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component ended.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component ended.
- setEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component ended.
- setEndTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs subtract this time from the end time.
- setEndTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the end time.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The environment variables to set in the container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The environment variables set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
Sets the environment variables in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
Sets the environment variables in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Sets the environment variables in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
Sets the environment variables in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended environment variables to set in the model container for Real-Time Inference.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The environment variables to set in the Docker container.
- setEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- setEnvironmentParameterRanges(EnvironmentParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The parameter you want to benchmark against.
- setEnvironmentParameters(Collection<EnvironmentParameter>) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
Defines the environment parameters that includes key, value types, and values.
- setErrorCode(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- setErrorMessage(String) - Method in class com.amazonaws.services.sagemaker.model.FailStepMetadata
-
A message that you define and then is processed and rendered by the Fail step when the error occurs.
- setErrorResponse(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- setErrors(Collection<RenderingError>) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- setErrorTopic(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference fails.
- setEvaluationPeriod(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The number of most recent monitoring executions to consider when evaluating alert status.
- setEvaluationPeriod(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The number of most recent monitoring executions to consider when evaluating alert status.
- setEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the feature that stores the EventTime of a Record in a
FeatureGroup.
- setEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- setEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- setExcludeDevicesDeployedInOtherStage(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
Toggle for excluding devices deployed in other stages.
- setExcludeRetainedVariantProperties(Collection<VariantProperty>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When you are updating endpoint resources with
RetainAllVariantProperties, whose value is set to
true,
ExcludeRetainedVariantProperties specifies the list of type
VariantProperty to
override with the values provided by
EndpointConfig.
- setExecutionRole(String) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The ARN of the execution role for the space.
- setExecutionRole(String) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The execution role for the user.
- setExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker
image for deployment on ML compute instances or for batch transform jobs.
- setExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- setExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- setExecutionRoleIdentityConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- setExecutionRoleIdentityConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- setExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- setExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains metadata from the processing container when the processing job
exits.
- setExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- setExperiment(Experiment) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of an experiment.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentResult
-
The Amazon Resource Name (ARN) of the experiment that is being deleted.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The Amazon Resource Name (ARN) of the experiment.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The Amazon Resource Name (ARN) of the experiment.
- setExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The configuration information used to create an experiment.
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- setExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the experiment to associate the trial with.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentRequest
-
The name of the experiment to delete.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentRequest
-
The name of the experiment to describe.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the experiment the trial is part of.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing experiment to associate with the trial component.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are part of the specified experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the experiment.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the experiment the trial is part of.
- setExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment to update.
- setExperimentSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
- setExperimentSummaries(Collection<ExperimentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A list of the summaries of your experiments.
- setExpiresInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The number of seconds until the pre-signed URL expires.
- setExplainability(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
- setExplainability(DriftCheckExplainability) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check explainability baselines that can be used when the model monitor is set using the
model package.
- setExplainability(Explainability) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that help explain a model.
- setExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A member of CreateEndpointConfig that enables explainers.
- setExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The configuration parameters for an explainer.
- setExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The configuration parameters for an explainer.
- setExportArtifacts(ModelCardExportArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The exported model card artifacts.
- setFail(FailStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of a Fail step execution.
- setFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- setFailedNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- setFailureHandlingPolicy(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentConfig
-
Toggle that determines whether to rollback to previous configuration if the current deployment fails.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The failure reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The failure reason of an AutoML job.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The failure reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the failure reason for an AutoML job, when applicable.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the reason for the failure of the AutoML job V2, when applicable.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The failure reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The reason your flow definition failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The failure reason if importing hub content failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The failure reason if importing hub content failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When a create, update, or delete operation fails, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When a create or delete operation fails, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
If the job fails, provides information why the job failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The failure reason if the model export job fails.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
If the execution failed, a message describing why.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The failure reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The failure reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
If the endpoint failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
If the status of the endpoint is Failed, or the status is InService but update
operation fails, this provides the reason why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The reason why the flow definition creation failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The error that was created when a hyperparameter tuning job failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When a create, update, or delete operation fails, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When a create or delete operation fails, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
If the job fails, provides information why the job failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
If the update wasn't successful, indicates the reason why it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
If a monitoring job failed, provides the reason.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
Contains the reason a monitoring job failed, if it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
If the monitoring schedule failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
If the execution failed, a message describing why.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The reason why the step failed execution.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
The reason why a benchmark failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A message describing why the step failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
If the transform job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- setFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The reason your workforce failed.
- setFeatureAdditions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group.
- setFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A list of Feature names and types.
- setFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A list of the Features in the FeatureGroup.
- setFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A list of Features.
- setFeatureGroup(FeatureGroup) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The Amazon Resource Number (ARN) of the feature group that contains the feature.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of a FeatureGroup.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Unique identifier for the FeatureGroup.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The Amazon Resource Number (ARN) of the feature group.
- setFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupResult
-
The Amazon Resource Number (ARN) of the feature group that you're updating.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the FeatureGroup.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteFeatureGroupRequest
-
The name of the FeatureGroup you want to delete.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
he name of the FeatureGroup.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature group that you've specified.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the FeatureGroup.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The name of FeatureGroup.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of the feature group containing the feature.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingFeatureStoreOutput
-
The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the feature group that you're updating.
- setFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature that you're updating.
- setFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the feature group.
- setFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A FeatureGroup status.
- setFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The status of a FeatureGroup.
- setFeatureGroupStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A FeatureGroup status.
- setFeatureGroupSummaries(Collection<FeatureGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A summary of feature groups.
- setFeatureHeaders(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The names of the features.
- setFeatureMetadata(FeatureMetadata) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The feature metadata used to search through the features.
- setFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name of the feature.
- setFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature that you've specified.
- setFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The name of a feature.
- setFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of feature.
- setFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name of the feature that you're updating.
- setFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attributes of the input data that are the input features.
- setFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
Provides the JMESPath expression to extract the features from a model container input in JSON Lines format.
- setFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attributes of the input data that are the input features.
- setFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job.
- setFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job V2.
- setFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID,
timestamp, and grouped columns set in TimeSeriesConfig.
- setFeatureStoreOutput(ProcessingFeatureStoreOutput) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon SageMaker Feature Store.
- setFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The data type of the feature.
- setFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The value type of a feature.
- setFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The data type of the feature.
- setFeatureTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A list of data types of the features (optional).
- setFileSystemAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The access mode of the mount of the directory associated with the channel.
- setFileSystemConfig(FileSystemConfig) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
- setFileSystemDataSource(FileSystemDataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The file system that is associated with a channel.
- setFileSystemId(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system id.
- setFileSystemType(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system type.
- setFilling(Map<String, Map<String, String>>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the filling method for a column, where the key is the column name and the value is an
object which defines the filling logic.
- setFilters(Collection<ModelMetadataFilter>) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSearchExpression
-
A list of filter objects.
- setFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- setFilters(QueryFilters) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A set of filtering parameters that allow you to specify which entities should be returned.
- setFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- setFinalActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
- setFinalAutoMLJobObjectiveMetric(FinalAutoMLJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
- setFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- setFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- setFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- setFlatInvocations(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has
reached capacity.
- setFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition you create.
- setFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow defintion.
- setFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The Amazon Resource Name (ARN) of the flow definition.
- setFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The name of your flow definition.
- setFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteFlowDefinitionRequest
-
The name of the flow definition you are deleting.
- setFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionRequest
-
The name of the flow definition.
- setFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition.
- setFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The name of the flow definition.
- setFlowDefinitionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The status of the flow definition.
- setFlowDefinitionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The status of the flow definition.
- setFlowDefinitionSummaries(Collection<FlowDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
An array of objects describing the flow definitions.
- setForecastFrequency(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The frequency of predictions in a forecast.
- setForecastHorizon(Integer) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The number of time-steps that the model predicts.
- setForecastQuantiles(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The quantiles used to train the model for forecasts at a specified quantile.
- setFramework(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- setFramework(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning framework of the model.
- setFramework(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The machine learning framework of the model package container image.
- setFramework(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning framework of the container image.
- setFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the framework version to use.
- setFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The framework version of the model.
- setFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The framework version of the Model Package Container Image.
- setFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The framework version of the container image.
- setGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Generates possible candidates without training the models.
- setGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the output for an AutoML job generates candidate definitions only.
- setGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
Generates possible candidates without training the models.
- setGeneratedBy(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The entity this entity was generated by.
- setGenerateInferenceId(Boolean) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
Flag that indicates whether to append inference id to the output.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- setGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the
credentials used to access the repository.
- setGitConfig(GitConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- setGranularity(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
The unit of granularity for the analysis of text features.
- setGroundTruthS3Input(MonitoringGroundTruthS3Input) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Location of ground truth labels to use in model bias job.
- setGroundTruthS3Input(MonitoringGroundTruthS3Input) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
The ground truth label provided for the model.
- setGroupingAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
A set of columns names that can be grouped with the item identifier column to create a composite key for which a
target value is predicted.
- setGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.OidcMemberDefinition
-
A list of comma seperated strings that identifies user groups in your OIDC IdP.
- setHeader(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringCsvDatasetFormat
-
Indicates if the CSV data has a header.
- setHomeEfsFileSystem(String) - Method in class com.amazonaws.services.sagemaker.model.RetentionPolicy
-
The default is Retain, which specifies to keep the data stored on the EFS volume.
- setHomeEfsFileSystemId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Elastic File System (EFS) managed by this Domain.
- setHomeEfsFileSystemKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Deprecated.
- setHomeEfsFileSystemKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Deprecated.
- setHomeEfsFileSystemUid(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the space's profile in the Amazon Elastic File System volume.
- setHomeEfsFileSystemUid(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the user's profile in the Amazon Elastic File System (EFS) volume.
- setHookParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for the Amazon SageMaker Debugger hook parameters.
- setHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates Horovod compatibility.
- setHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates Horovod compatibility.
- setHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates Horovod compatibility.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubResult
-
The Amazon Resource Name (ARN) of the hub.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub that contains the content.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon Resource Name (ARN) of the hub.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The Amazon Resource Name (ARN) of the hub.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub that the content was imported into.
- setHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubResult
-
The Amazon Resource Name (ARN) of the updated hub.
- setHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub content.
- setHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The Amazon Resource Name (ARN) of the hub content.
- setHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub content that was imported.
- setHubContentDependencies(Collection<HubContentDependency>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or
notebooks.
- setHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A description of the hub content.
- setHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
A description of the hub content.
- setHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A description of the hub content to import.
- setHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The display name of the hub content.
- setHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The display name of the hub content.
- setHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The display name of the hub content to import.
- setHubContentDocument(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- setHubContentDocument(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- setHubContentMarkdown(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A string that provides a description of the hub content.
- setHubContentMarkdown(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A string that provides a description of the hub content.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the content that you want to delete from a hub.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the content to describe.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub content.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The name of the hub content.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub content to import.
- setHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub content.
- setHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The searchable keywords for the hub content.
- setHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The searchable keywords for the hub content.
- setHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The searchable keywords of the hub content.
- setHubContentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The status of the hub content.
- setHubContentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The status of the hub content.
- setHubContentSummaries(Collection<HubContentInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
The summaries of the listed hub content.
- setHubContentSummaries(Collection<HubContentInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
The summaries of the listed hub content versions.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The type of content that you want to delete from a hub.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The type of content in the hub.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The type of hub content.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The type of hub content.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The type of hub content to import.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The type of hub content to list.
- setHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The type of hub content to list versions of.
- setHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The version of the content that you want to delete from a hub.
- setHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The version of the content to describe.
- setHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The version of the hub content.
- setHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content.
- setHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content to import.
- setHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
A description of the hub.
- setHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
A description of the hub.
- setHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
A description of the hub.
- setHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
A description of the updated hub.
- setHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The display name of the hub.
- setHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The display name of the hub.
- setHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The display name of the hub.
- setHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The display name of the hub.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The name of the hub to create.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the hub that you want to delete content in.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubRequest
-
The name of the hub to delete.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the hub that contains the content to describe.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub that contains the content.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubRequest
-
The name of the hub to describe.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The name of the hub.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The name of the hub.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub to import content into.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The name of the hub to list the contents of.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub to list the content versions of.
- setHubName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The name of the hub to update.
- setHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The searchable keywords for the hub.
- setHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The searchable keywords for the hub.
- setHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The searchable keywords for the hub.
- setHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The searchable keywords for the hub.
- setHubStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The status of the hub.
- setHubStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The status of the hub.
- setHubSummaries(Collection<HubInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
The summaries of the listed hubs.
- setHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- setHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- setHumanLoopActivationConditions(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConditionsConfig
-
JSON expressing use-case specific conditions declaratively.
- setHumanLoopActivationConditionsConfig(HumanLoopActivationConditionsConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConfig
-
Container structure for defining under what conditions SageMaker creates a human loop.
- setHumanLoopActivationConfig(HumanLoopActivationConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the events that trigger a human workflow.
- setHumanLoopActivationConfig(HumanLoopActivationConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about what triggers a human review workflow.
- setHumanLoopConfig(HumanLoopConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the tasks the human reviewers will perform.
- setHumanLoopConfig(HumanLoopConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about who works on the task, the workforce task price, and other task details.
- setHumanLoopRequestSource(HumanLoopRequestSource) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
Container for configuring the source of human task requests.
- setHumanLoopRequestSource(HumanLoopRequestSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
Container for configuring the source of human task requests.
- setHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords,
and batch size (task count).
- setHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human review workflow user interface you create.
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human task user interface (worker task template).
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The Amazon Resource Name (ARN) of the human task user interface.
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The Amazon Resource Name (ARN) of the human task user interface.
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The HumanTaskUiArn of the worker UI that you want to render.
- setHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
- setHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
The name of the user interface you are creating.
- setHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHumanTaskUiRequest
-
The name of the human task user interface (work task template) you want to delete.
- setHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiRequest
-
The name of the human task user interface (worker task template) you want information about.
- setHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The name of the human task user interface (worker task template).
- setHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The name of the human task user interface.
- setHumanTaskUiStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The status of the human task user interface (worker task template).
- setHumanTaskUiSummaries(Collection<HumanTaskUiSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
An array of objects describing the human task user interfaces.
- setHyperbandStrategyConfig(HyperbandStrategyConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyConfig
-
The configuration for the object that specifies the Hyperband strategy.
- setHyperParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- setHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- setHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- setHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job ended.
- setHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- setHyperParameterTuningJob(HyperParameterTuningJobSearchEntity) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a hyperparameter tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
- setHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the hyperparameter tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The name of a hyperparameter tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- setHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- setHyperParameterTuningJobObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- setHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- setHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The status of a hyperparameter tuning job.
- setHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- setHyperParameterTuningJobSummaries(Collection<HyperParameterTuningJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- setHyperParameterTuningResourceConfig(HyperParameterTuningResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes,
used for training jobs launched by the tuning job.
- setIamIdentity(IamIdentity) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The IAM Identity details associated with the user.
- setIdentityProviderOAuthSettings(Collection<IdentityProviderOAuthSetting>) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The settings for connecting to an external data source with OAuth.
- setImage(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The Amazon Elastic Container Registry (Amazon ECR) path of the container.
- setImage(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The path where inference code is stored.
- setImage(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageResult
-
The ARN of the image.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the image.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the image the version is based on.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The ARN of the image.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the image the version is based on.
- setImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageResult
-
The ARN of the image.
- setImageClassificationJobConfig(ImageClassificationJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the image classification problem type.
- setImageConfig(ImageConfig) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
- setImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The name of the image.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The ImageName of the Image to create a version of.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the CustomImage.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageRequest
-
The name of the image to delete.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The name of the image to delete.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageRequest
-
The name of the image to describe.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The name of the image.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The name of the image.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The name of the image to list the versions of.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The name of the image to update.
- setImageName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The name of the image.
- setImages(Collection<Image>) - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A list of images and their properties.
- setImageScanStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- setImageScanStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- setImageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The status of the image.
- setImageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The status of the image.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The container image to be run by the processing job.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The container image that the data quality monitoring job runs.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
The container image to be run by the model bias job.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
The container image to be run by the model explainability job.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The address of the container image that the monitoring job runs.
- setImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
The container image to be run by the monitoring job.
- setImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionResult
-
The ARN of the image version.
- setImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the version.
- setImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the version.
- setImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionResult
-
The ARN of the image version.
- setImageVersionNumber(Integer) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The version number of the CustomImage.
- setImageVersions(Collection<ImageVersion>) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A list of versions and their properties.
- setImageVersionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The status of the version.
- setImageVersionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The status of the version.
- setIncludeEdges(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Setting this value to
True retrieves not only the entities of interest but also the
Associations and
lineage entities on the path.
- setIncludeInferenceResponseIn(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
The Amazon SNS topics where you want the inference response to be included.
- setInferenceAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attribute of the input data that represents the ground truth label.
- setInferenceAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attribute of the input data that represents the ground truth label.
- setInferenceBenchmark(RecommendationJobInferenceBenchmark) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The details for a specific benchmark.
- setInferenceConfig(ClarifyInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The inference configuration parameter for the model container.
- setInferenceContainerDefinitions(Map<String, List<AutoMLContainerDefinition>>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the
candidate.
- setInferenceContainers(Collection<AutoMLContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the recommended inference container definitions.
- setInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies details of how containers in a multi-container endpoint are called.
- setInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Specifies details of how containers in a multi-container endpoint are called.
- setInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- setInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentResult
-
The ARN for your inference experiment.
- setInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentResult
-
The ARN of the deleted inference experiment.
- setInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentResult
-
The ARN of the started inference experiment to start.
- setInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentResult
-
The ARN of the stopped inference experiment.
- setInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentResult
-
The ARN of the updated inference experiment.
- setInferenceExperiments(Collection<InferenceExperimentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
List of inference experiments.
- setInferenceImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The inference image to use when compiling a model.
- setInferenceRecommendations(Collection<InferenceRecommendation>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The recommendations made by Inference Recommender.
- setInferenceRecommendationsJobName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of a previously completed Inference Recommender job.
- setInferenceRecommendationsJobName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of a previously completed Inference Recommender job.
- setInferenceRecommendationsJobs(Collection<InferenceRecommendationsJob>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
The recommendations created from the Amazon SageMaker Inference Recommender job.
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- setInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Defines how to perform inference generation after a training job is run.
- setInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The inference specification name in the model package version.
- setInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The inference specification name in the model package version.
- setInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The inference specification name in the model package version.
- setInfrastructureConfig(ModelInfrastructureConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The configuration for the infrastructure that the model will be deployed to.
- setInfrastructureConfig(ModelInfrastructureConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The configuration of the infrastructure that the model has been deployed to.
- setInfrastructureType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The inference option to which to deploy your model.
- setInitialActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for
auto-labeling.
- setInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The number of instances recommended to launch initially.
- setInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- setInitialNumberOfUsers(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how many concurrent users to start with.
- setInitialSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The percentage of requests SageMaker will capture.
- setInitialVariantWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- setInProgress(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- setInput(String) - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- setInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The input artifacts for the component.
- setInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The input artifacts of the component.
- setInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The input artifacts of the component.
- setInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's input artifacts with the specified artifacts or adds new input artifacts.
- setInputArtifactsToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The input artifacts to remove from the component.
- setInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- setInputConfig(RecommendationJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- setInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- setInputConfig(RecommendationJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations you provided when you initiated the job.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- setInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- setInputDataConfig(Collection<AutoMLChannel>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of channel objects that describes the input data and its location.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- setInputDataConfig(Collection<AutoMLChannel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the input data configuration for the AutoML job.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel
objects that specify the input for the training jobs that the tuning job launches.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- setInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- setInputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the input data to pass to the algorithm.
- setInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- setInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether to use File or Pipe input mode.
- setInputName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
The name for the processing job input.
- setInstanceConfigs(Collection<HyperParameterTuningInstanceConfig>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The number of instances of the type specified by InstanceType.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The number of compute instances of type InstanceType to use.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the number of instances of the instance group.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The number of ML compute instances to use in the model monitoring job.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The number of ML compute instances to use in the processing job.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The number of instances of the type specified by InstanceType.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- setInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- setInstanceGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the name of the instance group.
- setInstanceGroupNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of names of instance groups that get data from the S3 data source.
- setInstanceGroups(Collection<InstanceGroup>) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The configuration of a heterogeneous cluster in JSON format.
- setInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- setInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Information on the IMDS configuration of the notebook instance
- setInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The instance type to deploy a custom rule for debugging a training job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The instance types to use for the load test.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The instance type recommended by Amazon SageMaker Inference Recommender.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The instance type used for processing of hyperparameter optimization jobs.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The instance type used to run hyperparameter optimization tuning jobs.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the instance type of the instance group.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The ML compute instance type for the processing job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The type of instances associated with the variant.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The ML compute instance type for the processing job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The instance type to deploy a custom rule for profiling a training job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The instance type the model is deployed to.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended instance type for Real-Time Inference.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The instance type that the image version runs on.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- setInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- setIntegerParameterRanges(Collection<IntegerParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job
searches.
- setIntegerParameterRangeSpecification(IntegerParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- setInvocationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark completed.
- setInvocationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark completed.
- setInvocationsMaxRetries(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The maximum number of retries when invocation requests are failing.
- setInvocationsPerInstance(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant.
- setInvocationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark started.
- setInvocationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark started.
- setInvocationsTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The timeout value in seconds for an invocation request.
- setIotRoleAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
- setIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
- setIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
Amazon Web Services Internet of Things (IoT) object name.
- setIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
- setIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- setIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- setIssuer(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP issuer used to configure your private workforce.
- setIssuer(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP issuer used to configure your private workforce.
- setIsTunable(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- setItemIdentifierAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column that represents the set of item identifiers for which you want to predict the target
value.
- setJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the recommendation job.
- setJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the job.
- setJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of the recommendation job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the job definition.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality monitoring job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the data quality monitoring job definition.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- setJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality job.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The name for the monitoring job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The name of the bias job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The name of the monitoring job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to delete.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelBiasJobDefinitionRequest
-
The name of the model bias job definition to delete.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition to delete.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelQualityJobDefinitionRequest
-
The name of the model quality monitoring job definition to delete.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to describe.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The name of the data quality monitoring job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionRequest
-
The name of the model bias job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The name of the bias job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The name of the explainability job definition.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionRequest
-
The name of the model quality job.
- setJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The name of the quality job definition.
- setJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
A list of data quality monitoring job definitions.
- setJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
A JSON array in which each element is a summary for a model bias jobs.
- setJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
A JSON array in which each element is a summary for a explainability bias jobs.
- setJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
A list of summaries of model quality monitoring job definitions.
- setJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Description of the recommendation job.
- setJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job description that you provided when you initiated the job.
- setJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The job description.
- setJobDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the maximum duration of the job, in seconds.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A name for the recommendation job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobRequest
-
The name of the job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The name of the job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The name of the Inference Recommender job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The name for the Inference Recommender job.
- setJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobRequest
-
The name of the job you want to stop.
- setJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- setJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- setJobReferenceCodeContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- setJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Defines the type of recommendation job.
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates SageMaker job type compatibility.
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job type that you provided when you initiated the job.
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The recommendation job type.
- setJobType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- setJoinSource(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- setJson(MonitoringJsonDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The JSON dataset used in the monitoring job
- setJsonContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as JSON and capture accordingly.
- setJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- setJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- setJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Jupyter server's app settings.
- setJwksUri(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- setJwksUri(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- setKeepAlivePeriodInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
- setKeepAlivePeriodInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfigForUpdate
-
The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.
- setKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- setKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- setKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The kernel gateway app settings.
- setKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The configuration for the file system and kernels in the SageMaker image.
- setKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The KernelGatewayImageConfig.
- setKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The configuration of a KernelGateway app.
- setKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The new KernelGateway app to run on the image.
- setKernelSpecs(Collection<KernelSpec>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The specification of the Jupyter kernels in the image.
- setKey(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The environment key suggested by the Amazon SageMaker Inference Recommender.
- setKey(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
A key that must contain a value to describe the feature.
- setKey(String) - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The key that identifies a provisioning parameter.
- setKey(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- setKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- setKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- setKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest
using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
asynchronous inference output in Amazon S3.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data generated from an Athena query execution.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Key Management Service (KMS) encryption key ID.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the batch transform job.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
SageMaker uses Amazon Web Services KMS to encrypt the EFS volume attached to the domain with an Amazon Web
Services managed key by default.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the endpoint.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to your notebook instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
the captured data at rest using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The KMS key being used to encrypt the data in Amazon S3.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume after compilation job.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon Key Management Service (KMS) key ID for server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSecurityConfig
-
A Key Management Service
key ID to use for
encrypting a model card.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreSecurityConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the
Amazon S3 objects at rest using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to
encrypt your output models with Amazon S3 server-side encryption after compilation job.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
model artifacts at rest using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the processing job output.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
core dump data at rest using Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data from a Redshift execution.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into
the OfflineStore S3 location.
- setKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- setLabelAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to locate the list of label headers in the model container output.
- setLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- setLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- setLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URI of the file, referred to as a label category configuration file, that defines the categories
used to label the data objects.
- setLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- setLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- setLabelCounters(LabelCountersForWorkteam) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- setLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- setLabelHeaders(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
For multiclass classification problems, the label headers are the names of the classes.
- setLabelIndex(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a label header or list of label headers from model container output in CSV
format.
- setLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- setLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- setLabelingJobAlgorithmSpecificationArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training
job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- setLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the labeling job that created the transform job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- setLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- setLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- setLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- setLabelingJobResourceConfig(LabelingJobResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- setLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- setLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- setLabelingJobSummaryList(Collection<LabelingJobForWorkteamSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- setLabelingJobSummaryList(Collection<LabelingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- setLambda(LambdaStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output
parameters.
- setLanguage(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
Specifies the language of the text features in
ISO 639-1 or
ISO 639-3 code of a supported language.
- setLast(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The most recent value of the metric.
- setLastBatchTransformJob(TransformJob) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
- setLastDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The most recent deployment configuration for the endpoint.
- setLastExecutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The last time that a pipeline execution began.
- setLastHealthCheckTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last health check.
- setLastModifiedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was last modified.
- setLastModifiedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was last modified..
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who last modified the experiment.
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who last modified the component.
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who last modified the trial.
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- setLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who last modified the component.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the job was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when the feature group was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the metadata for the feature group was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you last modified the inference experiment.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The last modified time of the lineage group.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The last time that the model package was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was modified last.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The timestamp when project was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the edge packaging job was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The last time the endpoint was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A timestamp indicating the last time you updated the feature group.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp when you last modified the inference experiment.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The last modified time of the lineage group summary.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The time date and time that the model card version was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The last time the endpoint was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The last time the model package was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was last updated.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
A timestamp that indicates the last time the monitoring job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The last time the monitoring schedule was changed.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The last time the monitoring schedule was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time that the pipeline was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The time that the pipeline execution was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The time that the pipeline was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A timestamp that indicates the last time the processing job was modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp container for when the project was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The last modified time.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who last modified the trial.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was last modified.
- setLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The last modified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated after X
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated after this time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated after specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified after the time specified.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified after this timestamp.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified before a specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified after a specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified after the specified time.
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- setLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated before X
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated before this time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated before specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified before the time specified.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified before this timestamp.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified after a specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified before the specified time.
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- setLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- setLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Describes metadata on the last execution to run, if there was one.
- setLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- setLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- setLastRunTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last run.
- setLastRunTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time when the pipeline was last run.
- setLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The most recent date that
UpdateWorkforce was
used to successfully add one or more IP address ranges (
CIDRs) to a private workforce's
allow list.
- setLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- setLastUpdateStatus(LastUpdateStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A value indicating whether the update made to the feature group was successful.
- setLastUpdateStatus(LastUpdateStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A value that indicates whether the feature group was updated successfully.
- setLastUserActivityTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last user's activity.
- setLatestHeartbeat(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The last heartbeat received from the device.
- setLatestHeartbeat(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The last heartbeat received from the device.
- setLatestHeartbeatAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Select fleets where the job was updated after X
- setLatestInference(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last inference that was made.
- setLatestSampleTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last data sample taken.
- setLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
- setLifecycleConfigArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.
- setLifecycleConfigArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
- setLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- setLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- setLine(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJsonDatasetFormat
-
Indicates if the file should be read as a json object per line.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The Amazon Resource Name (ARN) of the lineage group resource.
- setLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the lineage group resource.
- setLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupRequest
-
The name of the lineage group.
- setLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The name of the lineage group.
- setLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyRequest
-
The name or Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The name or Amazon Resource Name (ARN) of the lineage group.
- setLineageGroupSummaries(Collection<LineageGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
A list of lineage groups and their properties.
- setLineageType(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of resource of the lineage entity.
- setLineageTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
- setLinearStepSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for each step to turn on traffic on the new endpoint fleet.
- setListingId(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
Marketplace product listing ID.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Path to the filesystem where the batch transform data is available to the container.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
(Optional) The local directory where checkpoints are written.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to local storage location for metrics and tensors.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to local storage location for output of rules.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Path to the filesystem where the endpoint data is available to the container.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The local path in your container where you want Amazon SageMaker to write input data to.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to local storage location for output of rules.
- setLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to local storage location for tensorBoard output.
- setLogFilePath(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The path to the log file where the cluster step's failure root cause is recorded.
- setLogoutEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP logout endpoint used to configure your private workforce.
- setLogoutEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP logout endpoint used to configure your private workforce.
- setMachineLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- setManifestS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- setMarketplaceDescription(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- setMarketplaceTitle(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- setMax(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The maximum value of the metric.
- setMaxAutoMLJobRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum runtime, in seconds, an AutoML job has to complete.
- setMaxCandidates(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum number of times a training job is allowed to run.
- setMaxCapacity(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended maximum capacity to specify for your autoscaling policy.
- setMaxConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The maximum number of concurrent invocations your serverless endpoint can process.
- setMaxConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated maximum number of concurrent invocations your serverless endpoint can process.
- setMaxConcurrentInvocationsPerInstance(Integer) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceClientConfig
-
The maximum number of concurrent requests sent by the SageMaker client to the model container.
- setMaxConcurrentTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- setMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- setMaxDepth(Integer) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
The maximum depth in lineage relationships from the StartArns that are traversed.
- setMaxHumanLabeledObjectCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- setMaximumBatchSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for each rolling step to provision capacity and turn on traffic on the new endpoint fleet, and
terminate capacity on the old endpoint fleet.
- setMaximumExecutionTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Maximum execution timeout for the deployment.
- setMaximumExecutionTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The time limit for the total deployment.
- setMaximumRetryAttempts(Integer) - Method in class com.amazonaws.services.sagemaker.model.RetryStrategy
-
The number of times to retry the job.
- setMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected maximum number of requests per minute for the instance.
- setMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The maximum number of requests per minute expected for the endpoint.
- setMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected maximum number of requests per minute for the instance.
- setMaxInvocationsPerMinute(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The maximum number of expected requests to your endpoint per minute.
- setMaxModels(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The maximum number of models.
- setMaxNumberOfTests(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of load tests.
- setMaxNumberOfTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- setMaxNumberOfTrainingJobsNotImproving(Integer) - Method in class com.amazonaws.services.sagemaker.model.BestObjectiveNotImproving
-
The number of training jobs that have failed to improve model performance by 1% or greater over prior training
jobs as evaluated against an objective function.
- setMaxParallelExecutionSteps(Integer) - Method in class com.amazonaws.services.sagemaker.model.ParallelismConfiguration
-
The max number of steps that can be executed in parallel.
- setMaxParallelOfTests(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of parallel load tests.
- setMaxParallelTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum payload size (MB) allowed of a request from the explainer to the model container.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum allowed size of the payload, in MB.
- setMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- setMaxPercentageOfInputDatasetLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- setMaxRecordCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum number of records in a request that the model container can process when querying the model container
for the predictions of a
synthetic dataset.
- setMaxResource(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The maximum number of results to select (50 by default).
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The maximum number of actions to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The maximum number of aliases to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The maximum number of artifacts to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The maximum number of associations to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs up to a specified limit.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the job's candidates up to a specified limit.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The maximum number of contexts to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The maximum number of data quality monitoring job definitions to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The maximum number of results to select.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Maximum number of results to select.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The maximum number of results to select (50 by default).
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Maximum number of results to select.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The maximum number of experiments to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The maximum number of results returned by ListFeatureGroups.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
The total number of items to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The maximum amount of hub content to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The maximum number of hub content versions to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
The maximum number of hubs to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
The total number of items to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The maximum number of images to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The maximum number of versions to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The maximum number of results to select.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The maximum number of recommendations to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The maximum number of results to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The maximum number of endpoints to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The maximum number of model bias jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
The maximum number of model card export jobs to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
The maximum number of model cards to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
The maximum number of model card versions to list.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The maximum number of jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
The maximum number of models to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The maximum number of results to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The maximum number of results to return in a call to ListModelQualityJobDefinitions.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The maximum number of results to display.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The maximum number of results to display.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The maximum number of jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The maximum number of jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The maximum number of pipeline executions to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The maximum number of pipeline execution steps to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The maximum number of parameters to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The maximum number of pipelines to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The maximum number of processing jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The maximum number of projects to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The maximum number of results returned by ListResourceCatalogs.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The maximum number of requests to select.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The maximum number of components to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The maximum number of trials to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The total number of items to return in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
The maximum number of workforces returned in the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the results.
- setMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringStoppingCondition
-
The maximum runtime allowed in seconds.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingStoppingCondition
-
Specifies the maximum runtime in seconds.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum time in seconds that a hyperparameter tuning job can run.
- setMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
- setMaxRuntimePerTrainingJobInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as
part of a hyperparameter tuning job.
- setMaxSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The upper bound of the hub content schema verion.
- setMaxSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The upper bound of the hub content schema version.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- setMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- setMaxWaitTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a managed Spot training job has to complete.
- setMediaType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The media type of the artifact, which indicates the type of data in the artifact file.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- setMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- setMemorySizeInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The memory size of your serverless endpoint.
- setMemoryUtilization(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected memory utilization at maximum invocations per minute for the instance.
- setMessage(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- setMessage(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
If the component failed, a message describing why.
- setMetadata(PipelineExecutionStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
Metadata to run the pipeline step.
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metadata properties of the tracking entity, trial, or trial component.
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- setMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- setMetric(ScalingPolicyMetric) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition
objects that specify the metrics that the algorithm emits.
- setMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobObjective
-
The name of the objective metric used to measure the predictive quality of a machine learning system.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The name of the customized metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the metric with the best result.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the metric.
- setMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The name of the metric.
- setMetrics(Collection<TrialComponentMetricSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The metrics for the component.
- setMetrics(InferenceMetrics) - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
The metrics for an existing endpoint.
- setMetrics(RecommendationMetrics) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The metrics used to decide what recommendation to make.
- setMetrics(RecommendationMetrics) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- setMetrics(Collection<TrialComponentMetricSummary>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The metrics for the component.
- setMetricSpecification(MetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
An object containing information about a metric.
- setMimeType(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The MIME type of the baseline data.
- setMin(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The minimum value of the metric.
- setMinCapacity(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended minimum capacity to specify for your autoscaling policy.
- setMinimumInstanceMetadataServiceVersion(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceMetadataServiceConfiguration
-
Indicates the minimum IMDS version that the notebook instance supports.
- setMinInvocationsPerMinute(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The minimum number of expected requests to your endpoint per minute.
- setMinResource(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- setMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- setMinVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The lower bound of the hub content versions to list.
- setMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The machine learning framework vended in the image version.
- setMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The machine learning framework vended in the image version.
- setMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The machine learning framework vended in the image version.
- setMode(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The method that Autopilot uses to train the data.
- setMode(String) - Method in class com.amazonaws.services.sagemaker.model.Autotune
-
Set Mode to Enabled if you want to use Autotune.
- setMode(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Whether the container hosts a single model or multiple models.
- setMode(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExecutionConfig
-
How containers in a multi-container are run.
- setMode(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The method that Autopilot uses to train the data.
- setModel(Model) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
A model displayed in the Model Dashboard.
- setModel(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The name of the model.
- setModel(ModelStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model that was created by this step execution.
- setModel(ModelDashboardModel) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The approval status of the model.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether the model is approved for deployment.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The approval status of the model package.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages with the specified approval status.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The approval status of the model.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The approval status of the model.
- setModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The approval status of the model.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in SageMaker.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the model.
- setModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- setModelArtifact(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Simple Storage (S3) URI where model artifacts ares stored.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- setModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- setModelBiasAppSpecification(ModelBiasAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Configures the model bias job to run a specified Docker container image.
- setModelBiasAppSpecification(ModelBiasAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Configures the model bias job to run a specified Docker container image.
- setModelBiasBaselineConfig(ModelBiasBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The baseline configuration for a model bias job.
- setModelBiasBaselineConfig(ModelBiasBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The baseline configuration for a model bias job.
- setModelBiasJobInput(ModelBiasJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Inputs for the model bias job.
- setModelBiasJobInput(ModelBiasJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Inputs for the model bias job.
- setModelBiasJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- setModelBiasJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- setModelCacheSetting(String) - Method in class com.amazonaws.services.sagemaker.model.MultiModelConfig
-
Whether to cache models for a multi-model endpoint.
- setModelCard(ModelDashboardModelCard) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The model card for a model.
- setModelCard(ModelCard) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
An Amazon SageMaker Model Card that documents details about a machine learning model.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardResult
-
The Amazon Resource Name (ARN) of the successfully created model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The Amazon Resource Name (ARN) of the model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The Amazon Resource Name (ARN) of the model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The Amazon Resource Name (ARN) of the model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The Amazon Resource Name (ARN) of the model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The Amazon Resource Name (ARN) for a model card.
- setModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardResult
-
The Amazon Resource Name (ARN) of the updated model card.
- setModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- setModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobRequest
-
The Amazon Resource Name (ARN) of the model card export job to describe.
- setModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- setModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The Amazon Resource Name (ARN) of the model card export job.
- setModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name of the model card export job.
- setModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name of the model card export job to describe.
- setModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card export job.
- setModelCardExportJobNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with names that contain the specified string.
- setModelCardExportJobSummaries(Collection<ModelCardExportJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
The summaries of the listed model card export jobs.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name or Amazon Resource Name (ARN) of the model card to export.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The unique name of the model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelCardRequest
-
The name of the model card to delete.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name or Amazon Resource Name (ARN) of the model card that the model export job exports.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to describe.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The name of the model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified name.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
List model card versions for the model card with the specified name or Amazon Resource Name (ARN).
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name of the model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card that the export job exports.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The name of the model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The name of the model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The name of a model card.
- setModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to update.
- setModelCardProcessingStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The processing status of model card deletion.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The approval status of the model card within your organization.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The approval status of the model card within your organization.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with the specified approval status.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions with the specified approval status.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The approval status of the model card within your organization.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The approval status of the model card within your organization.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The approval status of the model card version within your organization.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card status.
- setModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The approval status of the model card within your organization.
- setModelCardSummaries(Collection<ModelCardSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
The summaries of the listed model cards.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The version of the model card to export.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The version of the model card that the model export job exports.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The version of the model card to describe.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The version of the model card.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified version.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The version of the model card.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The version of the model card that the export job exports.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
A version of the model card.
- setModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card version.
- setModelCardVersionSummaryList(Collection<ModelCardVersionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
The summaries of the listed versions of the model card.
- setModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configures the timeout and maximum number of retries for processing a transform job invocation.
- setModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The timeout and maximum number of retries for processing a transform job invocation.
- setModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setModelConfigs(Collection<EdgeDeploymentModelConfig>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of models associated with the edge deployment plan.
- setModelConfigs(Collection<EdgeDeploymentModelConfig>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of models associated with the edge deployment plan.
- setModelConfiguration(ModelConfiguration) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the model configuration.
- setModelConfiguration(ModelConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- setModelDashboardIndicator(ModelDashboardIndicatorAction) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertActions
-
An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert
status.
- setModelDataDownloadTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the
individual inference instance associated with this production variant.
- setModelDataQuality(DriftCheckModelDataQuality) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model data quality baselines that can be used when the model monitor is set using the
model package.
- setModelDataQuality(ModelDataQuality) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of the input data for a model.
- setModelDataSource(ModelDataSource) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies the location of ML model data to deploy.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The location of the model artifacts.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- setModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- setModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- setModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- setModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- setModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- setModelDeployResult(ModelDeployResult) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Provides information about endpoint for the model deployment.
- setModelDeployResult(ModelDeployResult) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Provides information about endpoint for the model deployment.
- setModelDigests(ModelDigests) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
- setModelExplainabilityAppSpecification(ModelExplainabilityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Configures the model explainability job to run a specified Docker container image.
- setModelExplainabilityAppSpecification(ModelExplainabilityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Configures the model explainability job to run a specified Docker container image.
- setModelExplainabilityBaselineConfig(ModelExplainabilityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The baseline configuration for a model explainability job.
- setModelExplainabilityBaselineConfig(ModelExplainabilityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The baseline configuration for a model explainability job.
- setModelExplainabilityJobInput(ModelExplainabilityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Inputs for the model explainability job.
- setModelExplainabilityJobInput(ModelExplainabilityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Inputs for the model explainability job.
- setModelExplainabilityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- setModelExplainabilityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- setModelHandle(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The name the device application uses to reference this model.
- setModelId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name (ID) of the model.
- setModelId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
For models created in SageMaker, this is the model ARN.
- setModelInput(ModelInput) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
A structure with Model Input details.
- setModelInsights(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
- setModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected model latency at maximum invocations per minute for the instance.
- setModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected model latency at maximum invocation per minute for the instance.
- setModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The interval of time taken by a model to respond as viewed from SageMaker.
- setModelLatencyThresholds(Collection<ModelLatencyThreshold>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The interval of time taken by a model to respond as viewed from SageMaker.
- setModelMetadataSummaries(Collection<ModelMetadataSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A structure that holds model metadata.
- setModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A structure that contains model metrics reports.
- setModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Metrics for the model.
- setModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metrics for the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the SageMaker model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the created model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
A filter that searches devices that contains this name in any of their models.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The name of the model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the Amazon SageMaker Model entity.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the Amazon SageMaker Model entity.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The name of the created model.
- setModelName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the model associated with the transform job.
- setModelNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs where the model name contains this string.
- setModelNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this model.
- setModelPackage(ModelPackage) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The Amazon Resource Name (ARN) of the model package.
- setModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageResult
-
The Amazon Resource Name (ARN) of the model.
- setModelPackageArnList(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageRequest
-
The list of Amazon Resource Name (ARN) of the model package groups.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The description of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The description of the model package.
- setModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- setModelPackageGroup(ModelPackageGroup) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- setModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- setModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The Amazon Resource Name (ARN) of the model group.
- setModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The Amazon Resource Name (ARN) of the model group.
- setModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the model package group.
- setModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A description for the model group.
- setModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
A description of the model group.
- setModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The description for the model group.
- setModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
A description of the model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The group name for the model package
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The model package group name.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
The name of the model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupPolicyRequest
-
The name of the model group for which to delete the policy.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupRequest
-
The name of the model group to delete.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupRequest
-
The name of gthe model group to describe.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The name of the model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
If the model is a versioned model, the name of the model group that the versioned model belongs to.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyRequest
-
The name of the model group for which to get the resource policy.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model versions that belong to the specified model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The model package group that contains the model package.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The model group to which the model belongs.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The name of the model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The name of the model group.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the model group that the versioned model belongs to.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The name of the model group to add a resource policy to.
- setModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The model package group name.
- setModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The status of the model group.
- setModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The status of the model group.
- setModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The status of the model group.
- setModelPackageGroupSummaryList(Collection<ModelPackageGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
A list of summaries of the model groups in your Amazon Web Services account.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to delete.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to describe.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The name of the model.
- setModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The status of the mortgage package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The status of the model package.
- setModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- setModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- setModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies the validation and image scan statuses of the model package.
- setModelPackageSummaries(Map<String, BatchDescribeModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
The summaries for the model package versions
- setModelPackageSummaryList(Collection<ModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- setModelPackageType(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages of the specified type.
- setModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The version number of a versioned model.
- setModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The version of the model package.
- setModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The version number of a versioned model.
- setModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the version of the model.
- setModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of a versioned model package.
- setModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you
initiated a compilation job.
- setModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of a versioned model package.
- setModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a versioned model package.
- setModelPackageVersionArnEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this versioned model package.
- setModelQuality(DriftCheckModelQuality) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
- setModelQuality(ModelQuality) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of a model.
- setModelQualityAppSpecification(ModelQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The container that runs the monitoring job.
- setModelQualityAppSpecification(ModelQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Configures the model quality job to run a specified Docker container image.
- setModelQualityBaselineConfig(ModelQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the constraints and baselines for the monitoring job.
- setModelQualityBaselineConfig(ModelQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The baseline configuration for a model quality job.
- setModelQualityJobInput(ModelQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
A list of the inputs that are monitored.
- setModelQualityJobInput(ModelQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Inputs for the model quality job.
- setModelQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- setModelQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- setModelRegisterSettings(ModelRegisterSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The model registry settings for the SageMaker Canvas application.
- setModels(Collection<EdgeModel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Models on the device.
- setModels(Collection<EdgeModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Models on the device.
- setModels(Collection<ModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- setModelSetupTime(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The time it takes to launch new compute resources for a serverless endpoint.
- setModelSignature(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The signature document of files in the model artifact.
- setModelStats(Collection<EdgeModelStat>) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of model on device.
- setModelVariantActions(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
Array of key-value pairs, with names of variants mapped to actions.
- setModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- setModelVariants(Collection<ModelVariantConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
An array of ModelVariantConfigSummary objects.
- setModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The version of the model.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The version of the model.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The model version.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The model version.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The version model.
- setModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The version of the model.
- setModifiedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the last modified date.
- setModifiedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) before the last modified date.
- setModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or after the specified time.
- setModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified after the specified time.
- setModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or before the specified time.
- setModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified before the specified time.
- setMonitoringAlertHistory(Collection<MonitoringAlertHistorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
An alert history for a model monitoring schedule.
- setMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring alert.
- setMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring alert.
- setMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The name of a monitoring alert.
- setMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring alert.
- setMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The name of a monitoring alert.
- setMonitoringAlertSummaries(Collection<MonitoringAlertSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
A JSON array where each element is a summary for a monitoring alert.
- setMonitoringAlertSummaries(Collection<MonitoringAlertSummary>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A JSON array where each element is a summary for a monitoring alert.
- setMonitoringAppSpecification(MonitoringAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Configures the monitoring job to run a specified Docker container image.
- setMonitoringExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The status of the monitoring job.
- setMonitoringExecutionSummaries(Collection<MonitoringExecutionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
A JSON array in which each element is a summary for a monitoring execution.
- setMonitoringInputs(Collection<MonitoringInput>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of inputs for the monitoring job.
- setMonitoringJobDefinition(MonitoringJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Defines the monitoring job.
- setMonitoringJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Gets a list of the monitoring job runs of the specified monitoring job definitions.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Gets a list of the monitoring schedules for the specified monitoring job definition.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring job.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the monitoring job.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The name of the monitoring job definition to schedule.
- setMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring job definition that the schedule is for.
- setMonitoringOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
- setMonitoringOutputs(Collection<MonitoringOutput>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
Monitoring outputs for monitoring jobs.
- setMonitoringResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The Amazon Resource Name (ARN) of a monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- setMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- setMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- setMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- setMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- setMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteMonitoringScheduleRequest
-
The name of the monitoring schedule to delete.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleRequest
-
Name of a previously created monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Name of the monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The name of a monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific schedule to fetch jobs for.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The name of a monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The name of the monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleRequest
-
The name of the schedule to start.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleRequest
-
The name of the schedule to stop.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring schedule.
- setMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- setMonitoringSchedules(Collection<MonitoringSchedule>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of monitoring schedules for the endpoint.
- setMonitoringSchedules(Collection<ModelDashboardMonitoringSchedule>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The monitoring schedules for a model.
- setMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The status of an monitoring job.
- setMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The status of the monitoring schedule.
- setMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The status of the monitoring schedule.
- setMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The status of the monitoring schedule.
- setMonitoringScheduleSummaries(Collection<MonitoringScheduleSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
A JSON array in which each element is a summary for a monitoring schedule.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The type of the monitoring job that this schedule runs.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The monitor type of a model monitor.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The type of the monitoring job.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The type of the monitoring job definition to schedule.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The type of the monitoring job definition to schedule.
- setMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The type of the monitoring job definition that the schedule is for.
- setMonitoringTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only the monitoring job runs of the specified monitoring type.
- setMonitoringTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only the monitoring schedules for the specified monitoring type.
- setMountPath(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The path within the image to mount the user's EFS home directory.
- setMultiModelConfig(MultiModelConfig) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies additional configuration for multi-model endpoints.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A unique name to identify the additional inference specification.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
The name of the hyperparameter to optimize using Autotune.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The Name of the environment variable.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name for the inference experiment.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentRequest
-
The name of the inference experiment you want to delete.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentRequest
-
The name of the inference experiment to describe.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The name of the inference experiment.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A resource property name.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The name of the inference experiment.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The name of the Jupyter kernel in the image.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The name of the of the model to filter by.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The name of the output parameter.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The name of the parameter to assign a value to.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentRequest
-
The name of the inference experiment to start.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The name of the inference experiment to stop.
- setName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The name of the inference experiment to be updated.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs whose name contains the specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a search filter for name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A string in the data quality monitoring job definition name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter for fleets containing this name in their fleet device name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with names containing this name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs containing this name in their packaging job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A string that partially matches one or more FeatureGroups names.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content if the name contains the specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs with names that contain the specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images whose name contains the specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments whose names contain this name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A string in the job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Filter for model bias jobs whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with names that contain the specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Filter for model explainability jobs whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A string in the model group name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A string in the transform job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the model name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Filter for monitoring schedules whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A string in the processing job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects whose name contains a specified string.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A string that partially matches one or more ResourceCatalogs names.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A string in the Lifecycle Configuration name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A filter you can use to search for workforces using part of the workforce name.
- setNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- setNamespace(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The namespace of the customized metric.
- setNearestModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model.
- setNearestModelName(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
matches your model.
- setNestedFilters(Collection<NestedFilters>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- setNestedPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies networking configuration for the monitoring job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Networking options for a model bias job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Networking options for a model explainability job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the network configuration for the monitoring job.
- setNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from
processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The networking configuration for the data quality monitoring job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Networking options for a model bias job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Networking options for a model explainability job.
- setNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Networking options for a model quality job.
- setNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Networking options for a processing job.
- setNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies networking options for an monitoring job.
- setNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that SageMaker created at the time of creating the instance.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
Next token of device description.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
If the edge deployment plan has enough stages to require tokening, then this is the response from the last list
of stages returned.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
Token to use when calling the next set of stages in the edge deployment plan.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
If the previous call to ListActions didn't return the full set of actions, the call returns a token
for getting the next set of actions.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A token for getting the next set of actions, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
If the previous call to ListAliases didn't return the full set of aliases, the call returns a token
for retrieving the next set of aliases.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A token for getting the next set of aliases, if more aliases exist.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
If the previous call to ListImages didn't return the full set of AppImageConfigs, the call returns a
token for getting the next set of AppImageConfigs.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A token for getting the next set of AppImageConfigs, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
If the previous call to ListArtifacts didn't return the full set of artifacts, the call returns a
token for getting the next set of artifacts.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A token for getting the next set of artifacts, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
If the previous call to ListAssociations didn't return the full set of associations, the call
returns a token for getting the next set of associations.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A token for getting the next set of associations, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
If the previous response was truncated, you receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
If the previous response was truncated, you receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
If the previous response was truncated, you receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
If the previous response was truncated, you receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
If the previous call to ListContexts didn't return the full set of contexts, the call returns a
token for getting the next set of contexts.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A token for getting the next set of contexts, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
The token to use when calling the next page of results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Token to use when calling the next page of results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
If the previous call to ListExperiments didn't return the full set of experiments, the call returns
a token for getting the next set of experiments.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A token for getting the next set of experiments, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A token to resume pagination of ListFeatureGroups results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A token to resume pagination of ListFeatureGroups results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
If the response to a previous ListHubContents request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
If the response to a previous ListHubContentVersions request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
If the response to a previous ListHubs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
If the previous call to ListImages didn't return the full set of images, the call returns a token
for getting the next set of images.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A token for getting the next set of images, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
If the previous call to ListImageVersions didn't return the full set of versions, the call returns a
token for getting the next set of versions.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A token for getting the next set of versions, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The response from the last list when returning a list large enough to need tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
The token to use when calling the next page of results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the
response includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
A token for getting the next set of recommendations, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A token that you can specify to return more results from the list.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A token that you can specify in your next request to return more results from the list.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The token returned if the response is truncated.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
If the response to a previous ListModelCardExportJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
If the response to a previous ListModelCards request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
If the response to a previous ListModelCardVersions request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The token returned if the response is truncated.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
If the response to a previous ListModelMetadataResponse request was truncated, the response includes
a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A token for getting the next set of recommendations, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
If the result of the previous ListModelPackageGroups request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
If the result of the previous ListModelQualityJobDefinitions request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
If the result of the previous ListMonitoringAlertHistory request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
If the result of the previous ListMonitoringAlerts request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The token returned if the response is truncated.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The token returned if the response is truncated.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, SageMaker returns this
token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
If the result of the previous ListProcessingJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
If the result of the previous ListProjects request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A token to resume pagination of ListResourceCatalogs results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A token to resume pagination of ListResourceCatalogs results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The response from the last list when returning a list large enough to neeed tokening.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
The token to use when calling the next page of results.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
If the previous call to ListStudioLifecycleConfigs didn't return the full set of Lifecycle Configurations, the
call returns a token for getting the next set of Lifecycle Configurations.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, SageMaker includes a token in the response.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
If the previous call to ListTrialComponents didn't return the full set of components, the call
returns a token for getting the next set of components.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A token for getting the next set of components, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
If the previous call to ListTrials didn't return the full set of trials, the call returns a token
for getting the next set of trials.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A token for getting the next set of trials, if there are any.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
If the previous response was truncated, you will receive this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A token to resume pagination.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the request.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
Limits the number of vertices in the response.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resources match the specified SearchExpression, the response
includes a NextToken.
- setNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- setNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- setNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- setNotebookInstanceLifecycleConfigNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- setNotebookInstanceLifecycleConfigs(Collection<NotebookInstanceLifecycleConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the SageMaker notebook instance to delete.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the SageMaker notebook instance.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- setNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- setNotebookInstances(Collection<NotebookInstanceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- setNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- setNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- setNotebookOutputOption(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
Whether to include the notebook cell output when sharing the notebook.
- setNotificationConfig(AsyncInferenceNotificationConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
Specifies the configuration for notifications of inference results for asynchronous inference.
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- setNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
Configures SNS notifications of available or expiring work items for work teams.
- setNotificationTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the Amazon SNS topic to which notifications should be published.
- setNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- setNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- setNumberOfSamples(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The number of samples to be used for analysis by the Kernal SHAP algorithm.
- setNumberOfSteps(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many steps to perform during traffic.
- setNumberOfTrainingJobsObjectiveNotImproving(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model
performance evaluated against an objective function.
- setNumberValue(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The numeric value of a numeric hyperparameter.
- setObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The objective's status.
- setObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- setObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their
final objective metric, that this tuning job launched.
- setObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric
status, that this tuning job launched.
- setObjectKey(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
The object key (or key name) uniquely identifies the object in an S3 bucket.
- setOfflineDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and do not have a heart beat.
- setOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Use this to configure an OfflineFeatureStore.
- setOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration of the offline store.
- setOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- setOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the OfflineStore.
- setOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- setOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Notifies you if replicating data into the OfflineStore has failed.
- setOfflineStoreStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
An OfflineStore status.
- setOidcConfig(OidcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a private workforce using your own OIDC Identity Provider.
- setOidcConfig(OidcConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own
IdP.
- setOidcConfig(OidcConfigForResponse) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an OIDC Identity Provider (IdP) private workforce.
- setOidcMemberDefinition(OidcMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
A list user groups that exist in your OIDC Identity Provider (IdP).
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- setOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance.
- setOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
You can turn the OnlineStore on or off by specifying True for the
EnableOnlineStore flag in OnlineStoreConfig.
- setOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration for the OnlineStore.
- setOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- setOnlineStoreConfig(OnlineStoreConfigUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group online store configuration.
- setOnlineStoreTotalSizeBytes(Long) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The size of the OnlineStore in bytes.
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- setOperator(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- setOperator(String) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- setOs(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform OS.
- setOutcome(String) - Method in class com.amazonaws.services.sagemaker.model.ConditionStepMetadata
-
The outcome of the Condition step evaluation.
- setOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The output artifacts for the component.
- setOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The output artifacts of the component.
- setOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The output artifacts of the component.
- setOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's output artifacts with the specified artifacts or adds new output artifacts.
- setOutputArtifactsToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The output artifacts to remove from the component.
- setOutputCompression(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setOutputCompression(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setOutputConfig(AsyncInferenceOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Specifies the configuration for asynchronous inference invocation outputs.
- setOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The output configuration for storing sample data collected by the fleet.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Provides information about the output location for the packaged model.
- setOutputConfig(FlowDefinitionOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about where the human review results will be uploaded.
- setOutputConfig(RecommendationJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
- setOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to
encrypt the output data, if any.
- setOutputConfig(ModelCardExportOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The model card output configuration that specifies the Amazon S3 path for exporting.
- setOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The output configuration for storing sampled data.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output configuration for the edge packaging job.
- setOutputConfig(FlowDefinitionOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about the output file.
- setOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used
to encrypt the output data, if any.
- setOutputConfig(ModelCardExportOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The export output details for the model card.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The output configuration for storing sample data collected by the fleet.
- setOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Output configuration for storing sample data collected by the fleet.
- setOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- setOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 location where you want to store model artifacts.
- setOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's output data config.
- setOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's output data config.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- setOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- setOutputDatasetS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- setOutputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- setOutputFormat(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setOutputFormat(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setOutputName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
The name for the processing job output.
- setOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
A list of the output parameters of the callback step.
- setOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
A list of the output parameters of the Lambda step.
- setOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A list of the output parameters of the callback step.
- setOutputs(Collection<ProcessingOutput>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
An array of outputs configuring the data to upload from the processing container.
- setOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The location in Amazon S3 where Athena query results are stored.
- setOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The location in Amazon S3 where the Redshift query results are stored.
- setOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the best objective metric value of all training jobs launched
by this tuning job and all parent jobs specified for the warm start tuning job.
- setOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
This is the configuration that controls the parallelism of the pipeline.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The parallelism configuration applied to the pipeline.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
Lists the parallelism configuration applied to the pipeline.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The parallelism configuration applied to the pipeline.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The parallelism configuration applied to the pipeline execution.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- setParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
If specified, it applies to all executions of this pipeline by default.
- setParameterAdditions(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of key-value pairs that you can add to better describe the feature.
- setParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges
object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal
configuration for the highest model performance against your chosen objective metric.
- setParameterRemovals(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of parameter keys that you can specify to remove parameters that describe your feature.
- setParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The hyperparameters for the component.
- setParameters(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The key-value pairs that you added to describe the feature.
- setParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The hyperparameters of the component.
- setParameters(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
Optional key-value pairs that you specify to better describe the feature.
- setParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The hyperparameters of the component.
- setParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's hyperparameters with the specified hyperparameters or add new hyperparameters.
- setParametersToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The hyperparameters to remove from the component.
- setParentHyperParameterTuningJobs(Collection<ParentHyperParameterTuningJob>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- setParents(Collection<Parent>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
An array of the parents of the component.
- setParquet(MonitoringParquetDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The Parquet dataset used in the monitoring job
- setPartialFailureMessage(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLPartialFailureReason
-
The message containing the reason for a partial failure of an AutoML job.
- setPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The list of reasons for partial failures within an AutoML job.
- setPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns a list of reasons for partial failures within an AutoML job.
- setPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns a list of reasons for partial failures within an AutoML job V2.
- setPathId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The path identifier of the product.
- setPayloadConfig(RecommendationJobPayloadConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the SamplePayloadUrl and all other sample payload-related fields.
- setPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- setPendingDeploymentSummary(PendingDeploymentSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns the summary of an in-progress deployment.
- setPendingHuman(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- setPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Percentage of devices in the fleet to deploy to the current stage.
- setPercentile(String) - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile threshold.
- setPhases(Collection<Phase>) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the phases traffic specification.
- setPipeline(Pipeline) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineResult
-
The Amazon Resource Name (ARN) of the created pipeline.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline to delete.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the pipeline.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline that was executed.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) of the pipeline.
- setPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineResult
-
The Amazon Resource Name (ARN) of the updated pipeline.
- setPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
- setPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The JSON pipeline definition.
- setPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The JSON pipeline definition.
- setPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The JSON pipeline definition.
- setPipelineDefinitionS3Location(PipelineDefinitionS3Location) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- setPipelineDefinitionS3Location(PipelineDefinitionS3Location) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- setPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A description of the pipeline.
- setPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The description of the pipeline.
- setPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The description of the pipeline.
- setPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The description of the pipeline.
- setPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The description of the pipeline.
- setPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The display name of the pipeline.
- setPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The display name of the pipeline.
- setPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The display name of the pipeline.
- setPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The display name of the pipeline.
- setPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The display name of the pipeline.
- setPipelineExecution(PipelineExecution) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the updated pipeline execution.
- setPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The description of the pipeline execution.
- setPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The description of the pipeline execution.
- setPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The description of the pipeline execution.
- setPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The description of the pipeline execution.
- setPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The description of the pipeline execution.
- setPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The display name of the pipeline execution.
- setPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The display name of the pipeline execution.
- setPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The display name of the pipeline execution.
- setPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The display name of the pipeline execution.
- setPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The display name of the pipeline execution.
- setPipelineExecutionFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
A message generated by SageMaker Pipelines describing why the pipeline execution failed.
- setPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The status of the pipeline execution.
- setPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The status of the pipeline status.
- setPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The status of the pipeline execution.
- setPipelineExecutionSteps(Collection<PipelineExecutionStep>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
A list of PipeLineExecutionStep objects.
- setPipelineExecutionSummaries(Collection<PipelineExecutionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
Contains a sorted list of pipeline execution summary objects matching the specified filters.
- setPipelineExperimentConfig(PipelineExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- setPipelineExperimentConfig(PipelineExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The name of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
The name of the pipeline to delete.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineRequest
-
The name or Amazon Resource Name (ARN) of the pipeline to describe.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The name of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The name of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The name of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- setPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The name of the pipeline to update.
- setPipelineNamePrefix(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The prefix of the pipeline name.
- setPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
Contains a list of pipeline parameters.
- setPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
Contains a list of pipeline parameters.
- setPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
Contains a list of pipeline parameters.
- setPipelineStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The status of the pipeline execution.
- setPipelineStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The status of the pipeline.
- setPipelineSummaries(Collection<PipelineSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
Contains a sorted list of PipelineSummary objects matching the specified filters.
- setPlatformIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The platform identifier of the notebook instance runtime environment.
- setPlatformIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The platform identifier of the notebook instance runtime environment.
- setPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- setPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- setPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- setPostTrainingConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The post-training constraints.
- setPostTrainingReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The post-training bias report for a model.
- setPredefined(PredefinedMetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a predefined metric.
- setPredefinedMetricType(String) - Method in class com.amazonaws.services.sagemaker.model.PredefinedMetricSpecification
-
The metric type.
- setPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- setPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- setPresetDeploymentConfig(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The configuration used to create deployment artifacts.
- setPresetDeploymentOutput(EdgePresetDeploymentOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output of a SageMaker Edge Manager deployable resource.
- setPresetDeploymentType(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The deployment type SageMaker Edge Manager will create.
- setPreTrainingConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The pre-training constraints.
- setPreTrainingReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The pre-training bias report for a model.
- setPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- setPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- setPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- setPrimaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
The status of the trial component.
- setPrincipalId(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The ID of the principal that assumes the IAM identity.
- setProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
In a classification problem, the attribute that represents the class probability.
- setProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to extract the probability (or score) from the model container output if the model
container is in JSON Lines format.
- setProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
In a classification problem, the attribute that represents the class probability.
- setProbabilityIndex(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a probability value (score) or list from model container output in CSV format.
- setProbabilityThresholdAttribute(Double) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The threshold for the class probability to be evaluated as a positive result.
- setProbabilityThresholdAttribute(Double) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The threshold for the class probability to be evaluated as a positive result.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Defines the type of supervised learning problem available for the candidates.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's problem type.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The machine learning problem type of the model that the monitoring job monitors.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
The problem type.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The type of supervised learning problem available for the model candidates of the AutoML job V2.
- setProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary
Classification, Multiclass Classification, Regression).
- setProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job completed.
- setProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job ended.
- setProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job completed.
- setProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
An array of inputs configuring the data to download into the processing container.
- setProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The inputs for a processing job.
- setProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
List of input configurations for the processing job.
- setProcessingJob(ProcessingJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
- setProcessingJob(ProcessingJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a processing job that's the source of a trial component.
- setProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- setProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- setProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- setProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the processing job.
- setProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The Amazon Resource Name (ARN) of the processing job..
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The name of the processing job.
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobRequest
-
The name of the processing job.
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The name of the processing job.
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The name of the processing job.
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The name of the processing job.
- setProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopProcessingJobRequest
-
The name of the processing job to stop.
- setProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Provides the status of a processing job.
- setProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The status of the processing job.
- setProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The status of the processing job.
- setProcessingJobSummaries(Collection<ProcessingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
An array of ProcessingJobSummary objects, each listing a processing job.
- setProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Output configuration for the processing job.
- setProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Output configuration for the processing job.
- setProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- setProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- setProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setProcessingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job started.
- setProcessingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job started.
- setProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- setProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates CPU or GPU compatibility.
- setProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- setProductId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- setProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon Web Services Marketplace product ID of the model package.
- setProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the product to provision.
- setProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- setProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- setProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- setProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the production variants hosted on the endpoint.
- setProductionVariants(Collection<PendingProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
- setProductListingIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- setProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- setProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- setProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- setProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- setProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- setProfilerConfig(ProfilerConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage
paths.
- setProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- setProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- setProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- setProfilerRuleEvaluationStatuses(Collection<ProfilerRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
- setProfilingIntervalInMilliseconds(Long) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
A time interval for capturing system metrics in milliseconds.
- setProfilingIntervalInMilliseconds(Long) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
A time interval for capturing system metrics in milliseconds.
- setProfilingParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration information for capturing framework metrics.
- setProfilingParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Configuration information for capturing framework metrics.
- setProfilingStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Profiling status of a training job.
- setProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The supported programming language and its version.
- setProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The supported programming language and its version.
- setProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The supported programming language and its version.
- setProject(Project) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a project.
- setProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- setProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The Amazon Resource Name (ARN) of the project.
- setProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The Amazon Resource Name (ARN) of the project.
- setProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The Amazon Resource Name (ARN) of the project.
- setProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- setProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
A description for the project.
- setProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The description of the project.
- setProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The description of the project.
- setProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The description of the project.
- setProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The description for the project.
- setProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The ID of the new project.
- setProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The ID of the project.
- setProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The project ID.
- setProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The ID of the project.
- setProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The ID of the project.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The name of the project.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteProjectRequest
-
The name of the project to delete.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectRequest
-
The name of the project to describe.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The name of the project.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The name of the project.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The name of the project.
- setProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The name of the project.
- setProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The status of the project.
- setProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The status of the project.
- setProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The status of the project.
- setProjectSummaryList(Collection<ProjectSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
A list of summaries of projects.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of properties to add to the action.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of properties to add to the artifact.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of properties to add to the context.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
A list of the action's properties.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
A list of the artifact's properties.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
A list of the context's properties.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new list of properties.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new list of properties.
- setProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new list of properties.
- setPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
A list of properties to remove.
- setPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
A list of properties to remove.
- setPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
A list of properties to remove.
- setPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the SageMaker console.
- setPropertyNameHint(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that begins a property's name.
- setPropertyNameQuery(PropertyNameQuery) - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
Defines a property name hint.
- setPropertyNameSuggestions(Collection<PropertyNameSuggestion>) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- setProvisionedConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The amount of provisioned concurrency to allocate for the serverless endpoint.
- setProvisionedConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated amount of provisioned concurrency to allocate for the serverless endpoint.
- setProvisionedProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The ID of the provisioned product.
- setProvisionedProductStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The current status of the product.
- setProvisioningArtifactId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the provisioning artifact.
- setProvisioningArtifactId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
The ID of the provisioning artifact.
- setProvisioningParameters(Collection<ProvisioningParameter>) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
A list of key value pairs that you specify when you provision a product.
- setProvisioningParameters(Collection<ProvisioningParameter>) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
A list of key value pairs that you specify when you provision a product.
- setPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
- setPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
- setQualityCheck(QualityCheckStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of the check step execution.
- setQueryString(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setQueryString(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- setRandomSeed(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
A value used to initialize a pseudo-random number generator.
- setRange(ParameterRange) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- setRealTimeInferenceConfig(RealTimeInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The infrastructure configuration for deploying the model to real-time inference.
- setRealTimeInferenceRecommendations(Collection<RealTimeInferenceRecommendation>) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
- setReason(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The reason for stopping the experiment.
- setRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The recommendation ID of a previously completed inference recommendation.
- setRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The recommendation ID of a previously completed inference recommendation.
- setRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- setRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- setRecommendationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
Status of the deployment recommendation.
- setRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureStore.
- setRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the Feature used for RecordIdentifier, whose value uniquely identifies a
record stored in the feature store.
- setRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureGroup FeatureDefinitions.
- setRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- setRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- setRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- setRecordWrapperType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- setRedshiftDatasetDefinition(RedshiftDatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- setRegex(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- setRegisteredDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of registered devices.
- setRegisterModel(RegisterModelStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
- setRegisterNewBaseline(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- setRegisterNewBaseline(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- setRegistrationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The timestamp of the last registration or de-reregistration.
- setRegistrationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The timestamp of the last registration or de-reregistration.
- setReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The maintainer description of the image version.
- setReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The maintainer description of the image version.
- setReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The maintainer description of the image version.
- setRenderedContent(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- setReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The bias report for a model
- setReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Explainability
-
The explainability report for a model.
- setReportGenerated(Date) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Timestamp of when the report was generated.
- setRepository(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The repository.
- setRepositoryAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
Set this to one of the following values:
- setRepositoryAuthConfig(RepositoryAuthConfig) - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
(Optional) Specifies an authentication configuration for the private docker registry where your model image is
hosted.
- setRepositoryCredentialsProviderArn(String) - Method in class com.amazonaws.services.sagemaker.model.RepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to
authenticate to the private Docker registry where your model image is hosted.
- setRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepository
-
The URL of the Git repository.
- setRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- setResolutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- setResolvedAttributes(ResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Contains ProblemType, AutoMLJobObjective, and CompletionCriteria.
- setResolvedAttributes(AutoMLResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the resolved attributes used by the AutoML job V2.
- setResolvedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- setResolvedOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 path where offline records are written.
- setResource(String) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the SageMaker resource to search for.
- setResource(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the SageMaker resource to search for.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- setResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- setResourceCatalogArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The Amazon Resource Name (ARN) of the ResourceCatalog.
- setResourceCatalogName(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The name of the ResourceCatalog.
- setResourceCatalogs(Collection<ResourceCatalog>) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A list of the requested ResourceCatalogs.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- setResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- setResourceConfig(ResourceConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The training job ResourceConfig to update warm pool retention length.
- setResourceKey(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
- setResourceKey(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
- setResourceLimit(RecommendationJobResourceLimit) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Defines the resource limit of the job.
- setResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits
object that specifies the maximum number of training and parallel training jobs that can be used for this
hyperparameter tuning job.
- setResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
- setResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The resource policy that gives access to the lineage group in another account.
- setResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyResult
-
The resource policy for the model group.
- setResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The resource policy for the model group.
- setResourceRetainedBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The billable time in seconds used by the warm pool.
- setResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- setResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- setResults(Collection<SearchRecord>) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchRecord objects.
- setRetainAllVariantProperties(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When updating endpoint resources, enables or disables the retention of
variant properties,
such as the instance count or the variant weight.
- setRetainDeploymentConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Specifies whether to reuse the last deployment configuration.
- setRetentionPolicy(RetentionPolicy) - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The retention policy for this domain, which specifies whether resources will be retained after the Domain is
deleted.
- setRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- setRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The number of times to retry the job when the job fails due to an InternalServerError.
- setRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The number of times to retry the job when the job fails due to an InternalServerError.
- setRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The number of times to retry the job when the job fails due to an InternalServerError.
- setRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The number of times to retry the job when the job fails due to an InternalServerError.
- setReusedByJob(String) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The name of the matching training job that reused the warm pool.
- setRiskRating(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The risk rating of the model.
- setRiskRating(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A model card's risk rating.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
The ARN of the role that is used to access the data.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The ARN of the role that is used to access the data.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact SageMaker Neo.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore
if an OfflineStoreConfig is provided.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The Amazon Resource Name (ARN) of the role needed to call other services on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker assumes this
role to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the
input data location and write permission to the output data location in Amazon S3.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
The ARN of the Identity and Access Management role that has read permission to the input data location and write
permission to the output data location in Amazon S3.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact Neo.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an
OfflineStoreConfig is provided.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for
the flow definition.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided
when you initiated the job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the role that created the pipeline.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) that the pipeline used to execute.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the role used to create the processing job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The Amazon Resource Name (ARN) of the device.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the notebook instance.
- setRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- setRollbackMaximumBatchSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for rollback to the old endpoint fleet.
- setRollingUpdatePolicy(RollingUpdatePolicy) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- setRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- setRSessionAppSettings(RSessionAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure the RSessionGateway app.
- setRStudioConnectUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Connect server.
- setRStudioConnectUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Connect server.
- setRStudioPackageManagerUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Package Manager server.
- setRStudioPackageManagerUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Package Manager server.
- setRStudioServerProAppSettings(RStudioServerProAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure user interaction with the RStudioServerPro app.
- setRStudioServerProDomainSettings(RStudioServerProDomainSettings) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
A collection of settings that configure the RStudioServerPro Domain-level app.
- setRStudioServerProDomainSettingsForUpdate(RStudioServerProDomainSettingsForUpdate) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
A collection of RStudioServerPro Domain-level app settings to update.
- setRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The name of the rule configuration.
- setRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The name of the rule configuration.
- setRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The name of the rule configuration.
- setRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The name of the rule configuration.
- setRuleEvaluationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- setRuleEvaluationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- setRuleEvaluationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Status of the rule evaluation.
- setRuleEvaluationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Status of the rule evaluation.
- setRuleEvaluatorImage(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
- setRuleEvaluatorImage(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The Amazon Elastic Container Registry Image for the managed rule evaluation.
- setRuleParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Runtime configuration for rule container.
- setRuleParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Runtime configuration for rule container.
- setRunName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of the experiment run to associate with the trial component.
- setRunName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the experiment run.
- setRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConsumedResources
-
The wall clock runtime in seconds used by your hyperparameter tuning job.
- setS3ArtifactPath(String) - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon S3 bucket used to store artifacts generated by Canvas.
- setS3CompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container.
- setS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- setS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- setS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or
whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing
instance.
- setS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model
training, specify FullyReplicated.
- setS3DataSource(AutoMLS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSource
-
The Amazon S3 location of the input data.
- setS3DataSource(S3DataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- setS3DataSource(LabelingJobS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- setS3DataSource(S3ModelDataSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataSource
-
Specifies the S3 location of ML model data to deploy.
- setS3DataSource(TransformS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The data type.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether you use an S3Prefix or a ManifestFile for the data type.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the type of ML model data to deploy.
- setS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- setS3ExportArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportArtifacts
-
The Amazon S3 URI of the exported model artifacts.
- setS3FailurePath(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload failure inference responses to.
- setS3Input(ProcessingS3Input) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for downloading input data from Amazon S3 into the processing container.
- setS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- setS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- setS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to use File or Pipe input mode.
- setS3KmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service
(KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
- setS3KmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts
generated by Canvas in the Amazon S3 bucket.
- setS3ModelArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- setS3Output(MonitoringS3Output) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutput
-
The Amazon S3 storage location where the results of a monitoring job are saved.
- setS3Output(ProcessingS3Output) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon S3.
- setS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Simple Storage (S3) bucker URI.
- setS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload inference responses to.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Amazon S3 output path.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to Amazon S3 storage location for metrics and tensors.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon S3 path where the object containing human output will be made available.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubS3StorageConfig
-
The Amazon S3 bucket prefix for hosting hub content.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportOutputConfig
-
The Amazon S3 output path to export your model card PDF.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want SageMaker to store the model artifacts.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Path to Amazon S3 storage location for system and framework metrics.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Path to Amazon S3 storage location for system and framework metrics.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared
notebook snapshots.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to Amazon S3 storage location for TensorBoard output.
- setS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- setS3OutputUri(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobCompiledOutputConfig
-
Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
- setS3StorageConfig(HubS3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The Amazon S3 storage configuration for the hub.
- setS3StorageConfig(HubS3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon S3 storage configuration for the hub.
- setS3StorageConfig(S3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The Amazon Simple Storage (Amazon S3) location of OfflineStore.
- setS3UploadMode(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
Whether to upload the results of the monitoring job continuously or after the job completes.
- setS3UploadMode(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
Whether to upload the results of the processing job continuously or after the job completes.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The URL to the Amazon S3 data source.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
Identifies the S3 path where you want SageMaker to store checkpoints.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The Amazon S3 URI for the file source.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The S3 URI for the metrics source.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringConstraintsResource
-
The Amazon S3 URI for the constraints resource.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringGroundTruthS3Input
-
The address of the Amazon S3 location of the ground truth labels.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring
job.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringStatisticsResource
-
The Amazon S3 URI for the statistics resource.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing
job.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the S3 path of ML model data to deploy.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 URI, or location in Amazon S3, of OfflineStore.
- setS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- setSageMakerImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the SageMaker image that the image version belongs to.
- setSageMakerImageVersionAliases(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A list of SageMaker image version aliases.
- setSageMakerImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the image version created on the instance.
- setSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- setSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
- setSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- setSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Simple Storage Service path where the sample payload are stored.
- setSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- setSampleWeightAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- setSampleWeightAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- setSamplingDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices with this model version and are producing sample data.
- setSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow
variant.
- setScaleInCooldown(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale in cooldown time for your autoscaling policy.
- setScaleOutCooldown(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale out cooldown time for your autoscaling policy.
- setScalingPolicies(Collection<ScalingPolicy>) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
An object of the scaling policies for each metric.
- setScalingPolicyObjective(ScalingPolicyObjective) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
An object where you specify the anticipated traffic pattern for an endpoint.
- setScalingPolicyObjective(ScalingPolicyObjective) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
- setScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- setScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- setSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The duration for which you want the inference experiment to run.
- setSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The duration for which the inference experiment ran or will run.
- setSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The duration for which the inference experiment ran or will run.
- setSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The duration for which the inference experiment will run.
- setScheduleConfig(ScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Configures the monitoring schedule.
- setScheduledTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time the monitoring job was scheduled.
- setScheduledTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled after a specified time.
- setScheduledTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled before a specified time.
- setScheduleExpression(String) - Method in class com.amazonaws.services.sagemaker.model.ScheduleConfig
-
A cron expression that describes details about the monitoring schedule.
- setSearchExpression(ModelMetadataSearchExpression) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
One or more filters that searches for the specified resource or resources in a search.
- setSearchExpression(SearchExpression) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- setSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- setSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- setSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- setSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- setSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- setSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- setSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider,
such as the client ID and secret, authorization URL, and token URL.
- setSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The security configuration for traffic encryption or Amazon VPC settings.
- setSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The security configuration for traffic encryption or Amazon VPC settings.
- setSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated
workloads with highly sensitive data.
- setSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the security configuration for traffic encryption or Amazon VPC settings.
- setSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The security configuration used to protect model card content.
- setSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The security configuration used to protect model card data.
- setSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The KMS Key ID (KMSKeyId) for encryption of model card information.
- setSecurityConfig(OnlineStoreSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.
- setSecurityGroupIdForDomainBoundary(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the security group that authorizes traffic between the RSessionGateway apps and the
RStudioServerPro app.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The VPC security group IDs.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The VPC security group IDs.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- setSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The security group IDs for the Amazon Virtual Private Cloud that the space uses for communication.
- setSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- setSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- setSeed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The starting value used to initialize the random number generator in the explainer.
- setSeed(Long) - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- setSelectedSteps(Collection<SelectedStep>) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
A list of pipeline steps to run.
- setSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The selective execution configuration applied to the pipeline run.
- setSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The selective execution configuration applied to the pipeline run.
- setSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The selective execution configuration applied to the pipeline run.
- setSelectiveExecutionResult(SelectiveExecutionResult) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The ARN from an execution of the current pipeline from which results are reused for this step.
- setSellerName(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- setServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
- setServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
- setServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The serverless configuration for an endpoint.
- setServerlessUpdateConfig(ProductionVariantServerlessUpdateConfig) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Specifies the serverless update concurrency configuration for an endpoint variant.
- setServiceCatalogProvisionedProductDetails(ServiceCatalogProvisionedProductDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information about a provisioned service catalog product.
- setServiceCatalogProvisionedProductDetails(ServiceCatalogProvisionedProductDetails) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- setServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- setServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information used to provision a service catalog product.
- setServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- setServiceCatalogProvisioningUpdateDetails(ServiceCatalogProvisioningUpdateDetails) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- setSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The session expiration duration in seconds.
- setSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- setSet(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The dataset split from which the AutoML job produced the metric.
- setShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- setShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The configuration of ShadowMode inference experiment type, which shows the production variant that
takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests.
- setShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- setShadowModelVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The name of the shadow variant.
- setShadowModelVariants(Collection<ShadowModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
List of shadow variant configurations.
- setShadowProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- setShadowProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- setShadowProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
An array of
ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode
with production traffic replicated from the model specified on
ProductionVariants.
- setShadowProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the shadow variants hosted on the endpoint.
- setShadowProductionVariants(Collection<PendingProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
An array of
PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with
production traffic replicated from the model specified on
ProductionVariants for the in-progress
deployment.
- setShapBaseline(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The inline SHAP baseline data in string format.
- setShapBaselineConfig(ClarifyShapBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
- setShapBaselineUri(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored.
- setShapConfig(ClarifyShapConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The configuration for SHAP analysis.
- setSharingSettings(SharingSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
Specifies options for sharing SageMaker Studio notebooks.
- setShuffleConfig(ShuffleConfig) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- setSingleSignOnManagedApplicationInstanceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The IAM Identity Center managed application instance ID.
- setSingleSignOnUserIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A specifier for the type of value specified in SingleSignOnUserValue.
- setSingleSignOnUserIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user identifier.
- setSingleSignOnUserValue(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The username of the associated Amazon Web Services Single Sign-On User for this UserProfile.
- setSingleSignOnUserValue(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user value.
- setSkipCheck(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- setSkipCheck(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- setSnsDataSource(LabelingJobSnsDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
An Amazon SNS data source used for streaming labeling jobs.
- setSnsTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
An Amazon Simple Notification Service (Amazon SNS) output topic ARN.
- setSnsTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSnsDataSource
-
The Amazon SNS input topic Amazon Resource Name (ARN).
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The column to sort by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The column by which to sort the edge deployment plans.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Use to specify what column to sort by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The value on which the feature group list is sorted.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hub content versions by either name or creation time.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by either name or creation time.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by either name or creation time.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The column by which to sort the listed inference experiments.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by either name or creation time.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by either name or creation time.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort listed model card versions by version.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The field used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The field by which to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The field by which to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The field by which to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The value on which the resource catalog list is sorted.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The property used to sort results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The parameter by which to sort the results.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces using the workforce name or creation date.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- setSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
What direction to sort in.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The direction of the sorting (ascending or descending).
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
What direction to sort by.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The order in which feature groups are listed.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hubs by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The direction of sorting (ascending or descending).
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort model card versions by ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The sort order, whether Ascending or Descending, of the alert history.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort the results in Ascending or Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort the results in Ascending or Descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The field by which to sort results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The order in which the resource catalogs are listed.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The sort order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The sort order for the results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces in ascending or descending order.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- setSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- setSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The source of the action.
- setSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The source of the artifact.
- setSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The source of the context.
- setSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The source type, ID, and URI.
- setSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The ID, ID type, and URI of the source.
- setSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The source type, ID, and URI.
- setSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The URI of the source.
- setSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The source of the action.
- setSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The source of the artifact.
- setSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The source of the context.
- setSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the type.
- setSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- setSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- setSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- setSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- setSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) and job type of the source of the component.
- setSourceAlgorithms(Collection<SourceAlgorithm>) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- setSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- setSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- setSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of algorithms that were used to create a model package.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The ARN of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The ARN of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The ARN of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The ARN of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The ARN of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The Amazon Resource Name (ARN) of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source ARN.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that have the specified source Amazon Resource Name (ARN).
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The Amazon Resource Name (ARN) of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source Amazon Resource Name (ARN).
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
The Amazon Resource Name (ARN) of the source.
- setSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The Amazon Resource Name (ARN) of the source.
- setSourceDetail(TrialComponentSourceDetail) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Details of the source of the component.
- setSourceId(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The ID of the source.
- setSourceId(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The ID of the source.
- setSourceIdentity(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The person or application which assumes the IAM identity.
- setSourceIdType(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The type of ID.
- setSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
- setSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
A list of one to ten worker IP address ranges (
CIDRs) that can be used to access
tasks assigned to this workforce.
- setSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
A list of one to ten IP address ranges (
CIDRs) to be added to the workforce
allow list.
- setSourceModelVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
The name of the production variant, which takes all the inference requests.
- setSourceName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the source.
- setSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CacheHitResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- setSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
The ARN from a reference execution of the current pipeline.
- setSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionResult
-
The ARN from an execution of the current pipeline.
- setSources(Collection<TrialComponentSource>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The type of the source.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The source type.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The type of the source.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The source type.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source type.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source job type.
- setSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The source job type.
- setSourceTypes(Collection<ArtifactSourceType>) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
A list of source types.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The URI of the source.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
The URI of the source.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The URI of the source.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions with the specified source URI.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts with the specified source URI.
- setSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts with the specified source URI.
- setSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceResult
-
The space's Amazon Resource Name (ARN).
- setSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The space's Amazon Resource Name (ARN).
- setSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceResult
-
The space's Amazon Resource Name (ARN).
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The name of the space.
- setSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The name of the space.
- setSpaceNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter by which to filter the results.
- setSpaceNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by space name.
- setSpaces(Collection<SpaceDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
The list of spaces.
- setSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
A collection of space settings.
- setSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
A collection of space settings.
- setSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
A collection of space settings.
- setSpawnRate(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specified how many new users to spawn in a minute.
- setSpecifiedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- setSplitType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- setSqsQueueUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the stage.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
The name of the stage.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
The name of the stage.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the stage in the edge deployment plan.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the stage in the deployment.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the stage to start.
- setStageName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the stage to stop.
- setStages(Collection<DeploymentStage>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of stages of the edge deployment plan.
- setStages(Collection<DeploymentStage>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
List of stages to be added to the edge deployment plan.
- setStages(Collection<DeploymentStageStatusSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of stages in the edge deployment plan.
- setStageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The general status of the current stage.
- setStairs(Stairs) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the stairs traffic pattern.
- setStandardMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the standard metric.
- setStandardMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the standard metric.
- setStartArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component started.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component started.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment started or will start.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The start time of the deployment.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step started executing.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The start time of the pipeline execution.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The start time of the current status change.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component started.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component started.
- setStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component started.
- setStartTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs substract this time from the start time.
- setStartTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the start time.
- setStaticHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- setStatistic(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The statistic of the customized metric.
- setStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality statistics.
- setStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality statistics.
- setStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality statistics for a model.
- setStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality statistics.
- setStatisticsResource(MonitoringStatisticsResource) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- setStatisticsResource(MonitoringStatisticsResource) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The status of the action.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The status of the action.
- setStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The status of the component.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The status of the action.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The status of the inference experiment.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The status of the job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The completion status of the model card export job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The status.
- setStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The status of the component.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The status of the deployable resource.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
Whether Service Catalog is enabled or disabled in SageMaker.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The status of the inference experiment.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The status of the job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The current status of the benchmark.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
A value that indicates whether the update was made successful.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return benchmarks of a specified status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The completion status of the model card export job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The status of deployment for the model variant on the hosted inference endpoint.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
An OfflineStore status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The endpoint variant status which describes the current deployment stage status or operational status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
Describes whether time series forecasting is enabled or disabled in the Canvas application.
- setStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- setStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The status of the component.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new status for the action.
- setStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The new status of the component.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The status.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The status of the warm pool.
- setStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The status of your workforce.
- setStatusDetails(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Details from the rule evaluation.
- setStatusDetails(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Details from the rule evaluation.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The job status to filter for.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which are in this status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that retrieves only inference recommendations jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that retrieves only alerts with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that retrieves only jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that retrieves only processing jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- setStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- setStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
Returns a message describing the status of the deployed resource.
- setStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
A message that describes the status of the production variant.
- setStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- setStatusReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The error message or client-specified
Reason from the
StopInferenceExperiment API, that explains the status of the inference experiment.
- setStatusReason(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The error message for the inference experiment status result.
- setStdDev(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The standard deviation of the metric.
- setStepDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The description of the step.
- setStepDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The display name of the step.
- setStepId(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster step.
- setStepName(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The name of the EMR cluster step.
- setStepName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The name of the step that is executed.
- setStepName(String) - Method in class com.amazonaws.services.sagemaker.model.SelectedStep
-
The name of the pipeline step.
- setSteps(Collection<InferenceRecommendationsJobStep>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A list of all subtask details in Inference Recommender.
- setStepStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The status of the step execution.
- setStepType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The type of the subtask.
- setStepType(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return details about the specified type of subtask.
- setStopped(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- setStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The time limit for how long the processing job is allowed to run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- setStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time limit for how long the processing job is allowed to run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- setStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies a time limit for how long the monitoring job is allowed to run.
- setStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- setStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- setStoppingConditions(RecommendationJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A set of conditions for stopping a recommendation job.
- setStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- setStoppingConditions(RecommendationJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The stopping conditions that you provided when you initiated the job.
- setStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- setStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- setStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each
iteration.
- setStrategyConfig(HyperParameterTuningJobStrategyConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The configuration for the Hyperband optimization strategy.
- setStringValue(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The string value of a categorical hyperparameter.
- setStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The App type that the Lifecycle Configuration is attached to.
- setStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The App type that the Lifecycle Configuration is attached to.
- setStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The App type to which the Lifecycle Configuration is attached.
- setStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigResult
-
The ARN of your created Lifecycle Configuration.
- setStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The ARN of the Lifecycle Configuration to describe.
- setStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration.
- setStudioLifecycleConfigContent(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The content of your Studio Lifecycle Configuration script.
- setStudioLifecycleConfigContent(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The content of your Studio Lifecycle Configuration script.
- setStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to create.
- setStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to delete.
- setStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to describe.
- setStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The name of the Studio Lifecycle Configuration that is described.
- setStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The name of the Studio Lifecycle Configuration.
- setStudioLifecycleConfigs(Collection<StudioLifecycleConfigDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
A list of Lifecycle Configurations and their properties.
- setSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The subdomain for your OIDC Identity Provider.
- setSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- setSubExpressions(Collection<SearchExpression>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- setSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- setSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- setSubnetIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The VPC subnets that Studio uses for communication.
- setSubnetIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The VPC subnets that Studio uses for communication.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in
Amazon S3.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The ID of the subnets in the VPC to which you want to connect your model.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the subnets in the VPC that you want to connect.
- setSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the subnets in the VPC that you want to connect.
- setSubscribedWorkteam(SubscribedWorkteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- setSubscribedWorkteams(Collection<SubscribedWorkteam>) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- setSucceeded(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- setSuccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- setSuccessTopic(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference completes successfully.
- setSuggestionQuery(SuggestionQuery) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- setSupportedCompressionTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the input data.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- setSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The supported MIME types for the input data.
- setSupportedEndpointType(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The endpoint type to receive recommendations for.
- setSupportedHyperParameters(Collection<HyperParameterSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- setSupportedInputModes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- setSupportedInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
A list of the instance types that are used to generate inferences in real-time.
- setSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types that are used to generate inferences in real-time.
- setSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- setSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the output data.
- setSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- setSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The supported MIME types for the output data.
- setSupportedTrainingInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- setSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- setSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- setSupportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- setSupportsDistributedTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- setTableFormat(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Format for the offline store table.
- setTableName(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table.
- setTabularJobConfig(TabularJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a tabular problem type (regression, classification).
- setTabularResolvedAttributes(TabularResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeResolvedAttributes
-
Defines the resolved attributes for the TABULAR problem type.
- setTagKeys(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the SageMaker resource.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of tags to apply to the action.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
A list of tags to apply to the AppImageConfig.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
Each tag consists of a key and an optional value.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of tags to apply to the artifact.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of tags to apply to the context.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Creates tags for the specified fleet.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Tags to associated with the Domain.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of tags with which to tag the edge deployment plan.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Creates tags for the packaging job.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
A list of tags to associate with the experiment.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Tags used to identify Features in each FeatureGroup.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
Any tags to associate with the hub.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow
user interface.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
A list of tags to apply to the image.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
Array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
Key-value pairs used to manage metadata for model cards.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A list of key value pairs associated with the model group.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A list of key value pairs associated with the model.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A list of tags to apply to the created pipeline.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
Tags to associated with the space.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
Tags to be associated with the Lifecycle Configuration.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
A list of tags to associate with the component.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
A list of tags to associate with the trial.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
Each tag consists of a key and an optional value.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize our workforce.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the tags associated with the endpoint.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The list of tags that are associated with the experiment.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
Tags used to define a FeatureGroup.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The tags associated with a hyperparameter tuning job.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
Any tags associated with the hub content.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A list of key-value pairs associated with the model.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
Key-value pairs used to manage metadata for the model card.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The tags associated with a model card.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of the tags associated with the model package.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
A list of the tags associated with the model group.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
A list of the tags associated with the monitoring schedlue.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
A list of tags that apply to the pipeline.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Project
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The tags associated with devices.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A list of tags associated with the transform job.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The list of tags that are associated with the trial.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The list of tags that are associated with the component.
- setTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
An array of key-value pairs.
- setTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The name of the target variable in supervised learning, usually represented by 'y'.
- setTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The name of the target variable in supervised learning, usually represented by 'y'.
- setTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column representing the target variable that you want to predict for each item in your dataset.
- setTargetCpuUtilizationPerCore(Integer) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The percentage of how much utilization you want an instance to use before autoscaling.
- setTargetCpuUtilizationPerCore(Integer) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the
request.
- setTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the target device or the machine learning instance that you want to run your model on after the
compilation has completed.
- setTargetLabelColumn(String) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the class labels.
- setTargetObjectiveMetricValue(Float) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
The value of the objective metric.
- setTargetPlatform(TargetPlatform) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
- setTargetTracking(TargetTrackingScalingPolicyConfiguration) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicy
-
A target tracking scaling policy.
- setTargetValue(Double) - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
The recommended target value to specify for the metric when creating a scaling policy.
- setTask(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning task your model package accomplishes.
- setTask(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning task you specified that your model package accomplishes.
- setTask(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning task of the model.
- setTask(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning task your model package accomplishes.
- setTask(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning task that the model accomplishes.
- setTask(RenderableTask) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- setTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The length of time that a task remains available for review by human workers.
- setTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labeling by human workers.
- setTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The number of distinct workers who will perform the same task on each object.
- setTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A description for the human worker task.
- setTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- setTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Keywords used to describe the task so that workers can discover the task.
- setTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- setTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The amount of time that a worker has to complete a task.
- setTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- setTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A title for the human worker task.
- setTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- setTensorBoardAppSettings(TensorBoardAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The TensorBoard app settings.
- setTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- setTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- setTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- setTenthFractionsOfACent(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- setTerminationWaitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old
endpoint fleet.
- setTextClassificationJobConfig(TextClassificationJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the text classification problem type.
- setTextConfig(ClarifyTextConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
- setTimeSeriesConfig(TimeSeriesConfig) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The collection of components that defines the time-series.
- setTimeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a time-series forecasting problem type.
- setTimeSeriesForecastingSettings(TimeSeriesForecastingSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
Time series forecast settings for the Canvas application.
- setTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- setTimeStamp(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
When the metric was last updated.
- setTimestampAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column indicating a point in time at which the target value of a given item is recorded.
- setTokenEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP token endpoint used to configure your private workforce.
- setTokenEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP token endpoint used to configure your private workforce.
- setTotal(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- setTotalLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- setTrafficPattern(TrafficPattern) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the traffic pattern of the job.
- setTrafficRoutingConfiguration(TrafficRoutingConfig) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint
deployment.
- setTrafficType(String) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the traffic patterns.
- setTrainingChannels(Collection<ChannelSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- setTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- setTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- setTrainingImageConfig(TrainingImageConfig) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The configuration to use an image from a private Docker registry for a training job.
- setTrainingImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
- setTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- setTrainingJob(TrainingJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- setTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a training job.
- setTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a training job that's the source of a trial component.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a training job associated with this processing job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the training job associated with this processing job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- setTrainingJobDefinition(TrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that SageMaker runs to validate
your algorithm.
- setTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches,
including static hyperparameters, input data configuration, output data configuration, resource configuration,
and stopping condition.
- setTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setTrainingJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The training job definition name.
- setTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
- setTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- setTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The job definitions included in a hyperparameter tuning job.
- setTrainingJobEarlyStoppingType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- setTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The name of a training job to update the Debugger profiling configuration.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- setTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- setTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this
tuning job launched.
- setTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that
this tuning job launched.
- setTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary
objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob
request returned.
- setTrainingJobSummaries(Collection<TrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- setTrainingRepositoryAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
The method that your training job will use to gain access to the images in your private Docker registry.
- setTrainingRepositoryAuthConfig(TrainingRepositoryAuthConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
An object containing authentication information for a private Docker registry containing your training images.
- setTrainingRepositoryCredentialsProviderArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingRepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function used to give SageMaker access
credentials to your private Docker registry.
- setTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- setTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- setTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- setTrainingTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The training time in seconds.
- setTrainingTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The training time in seconds.
- setTransformations(TimeSeriesTransformations) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The transformations modifying specific attributes of the time-series, such as filling strategies for missing
values.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job has been completed, or has stopped or failed.
- setTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- setTransformJob(TransformJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- setTransformJob(TransformJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a transform job that's the source of a trial component.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- setTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that SageMaker runs to validate
your algorithm.
- setTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the batch transform job to stop.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the transform job.
- setTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- setTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- setTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The status of the transform job.
- setTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- setTransformJobSummaries(Collection<TransformJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- setTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- setTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- setTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job starts on ML instances.
- setTrial(Trial) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialResult
-
The Amazon Resource Name (ARN) of the trial that is being deleted.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The Amazon Resource Name (ARN) of the trial.
- setTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- setTrialComponent(TrialComponent) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentResult
-
The Amazon Resource Name (ARN) of the component is being deleted.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- setTrialComponentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The display name for the trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the component to associated with the trial.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentRequest
-
The name of the component to delete.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentRequest
-
The name of the trial component to describe.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the component to disassociate from the trial.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are associated with the specified trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The name of the trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the trial component.
- setTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component to update.
- setTrialComponentSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- setTrialComponentSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
- setTrialComponentSummaries(Collection<TrialComponentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A list of the summaries of your trial components.
- setTrialComponentSummaries(Collection<TrialComponentSimpleSummary>) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
A list of the components associated with the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the trial to associate with.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialRequest
-
The name of the trial to delete.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialRequest
-
The name of the trial to describe.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the trial to disassociate from.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing trial to associate the trial component with.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial.
- setTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial to update.
- setTrialSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
- setTrialSummaries(Collection<TrialSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A list of the summaries of your trials.
- setTtlDuration(TtlDuration) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- setTtlDuration(TtlDuration) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfigUpdate
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- setTunedHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- setTuningJob(TuningJobStepMetaData) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- setTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- setTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- setTuningJobCompletionCriteria(TuningJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The tuning job's completion criteria.
- setTuningJobCompletionDetails(HyperParameterTuningJobCompletionDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Tuning job completion information returned as the response from a hyperparameter tuning job.
- setTuningJobCompletionDetails(HyperParameterTuningJobCompletionDetails) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
Information about either a current or completed hyperparameter tuning job.
- setTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- setTuningObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Specifies the endpoint capacity type.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The type of the inference experiment that you want to run.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The type of the inference experiment.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The deployment type created by SageMaker Edge Manager.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The type of metric with the best result.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The type of the inference experiment.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments of this type.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Traffic routing strategy type.
- setType(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of the lineage entity resource.
- setTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn by type.
- setUiConfig(UiConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- setUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
- setUiTemplate(UiTemplateInfo) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
- setUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- setUiTemplateS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template, or worker task template.
- setUnit(String) - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time unit.
- setUnlabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The URL to the created domain.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's URL.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's URL.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter notebook running in your notebook instance.
- setUrl(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The URL for the user interface template.
- setUseLogit(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model
predictions.
- setUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- setUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
The level of permissions that the user has within the RStudioServerPro app.
- setUserInfoEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP user information endpoint used to configure your private workforce.
- setUserInfoEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP user information endpoint used to configure your private workforce.
- setUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
A
user
pool is a user directory in Amazon Cognito.
- setUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- setUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- setUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- setUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- setUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The Amazon Resource Name (ARN) of the user's profile.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the UserProfile to sign-in as.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A name for the UserProfile.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The user profile name.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The name of the user's profile.
- setUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The user profile name.
- setUserProfileNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- setUserProfileNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by user profile name.
- setUserProfiles(Collection<UserProfileDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
The list of user profiles.
- setUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A collection of settings.
- setUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
A collection of settings.
- setUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
A collection of settings.
- setUsersPerStep(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many new users to spawn in each step.
- setValidationFraction(Float) - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig
-
The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for
validation.
- setValidationProfiles(Collection<AlgorithmValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that SageMaker runs to validate your algorithm.
- setValidationProfiles(Collection<ModelPackageValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that SageMaker runs to validate your model package.
- setValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that SageMaker uses to run the training jobs.
- setValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- setValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training
code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference
code.
- setValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
- setValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
- setValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that SageMaker runs to test the model package.
- setValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies batch transform jobs that SageMaker runs to validate your model package.
- setValidationStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- setValidationStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The ID.
- setValue(Integer) - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Defines the capacity size, either as a number of instances or a capacity percentage.
- setValue(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The list of values you can pass.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value suggested by the Amazon SageMaker Inference Recommender.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
The value that belongs to a key.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Name and Operator to determine which resources satisfy the filter's
condition.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The value of the metric with the best result.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- setValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The value of the metric.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The value to filter the model metadata.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The value of the output parameter.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The literal value for the parameter.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The value of the provisioning parameter.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- setValue(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The location of the artifact.
- setValue(Integer) - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time value.
- setValueHint(String) - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
An example value of the hyperparameter to optimize using Autotune.
- setValueInMilliseconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile value in milliseconds.
- setValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- setValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- setValueType(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value type suggested by the Amazon SageMaker Inference Recommender.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the production variant (deployed model) made during a recommendation job.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the variant.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the variant.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The name of the variant.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- setVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- setVariantPropertyType(String) - Method in class com.amazonaws.services.sagemaker.model.VariantProperty
-
The type of variant property.
- setVariantStatus(Collection<ProductionVariantStatus>) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- setVariantStatus(Collection<ProductionVariantStatus>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- setVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The stability of the image version, specified by the maintainer.
- setVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The stability of the image version specified by the maintainer.
- setVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The availability of the image version specified by the maintainer.
- setVersion(String) - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
Version of the agent.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The version to delete.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The version of the image.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The version number.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The version number.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The version of the image.
- setVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The version of the image.
- setVersionId(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Version Id of the pipeline definition file.
- setVertices(Collection<Vertex>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of vertices connected to the start entity(ies) in the lineage graph.
- setViolationReport(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the violation report if violations are detected.
- setViolationReport(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of violation report if violations are detected.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The key used to encrypt stored data.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the
compute instances used to run the training job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference
jobs used for automated data labeling.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the
endpoint.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML
compute instance(s) that run the training job.
- setVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs
(optional).
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The size of the ML storage volume, in gigabytes, that you want to provision.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The size of the ML storage volume in gigabytes that you want to provision.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size, in GB, of the ML storage volume attached to individual inference instance associated with the
production variant.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- setVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The VPC configuration.
- setVpcConfig(NeoVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object
that specifies the VPC that you want your model to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your training job to connect to.
- setVpcConfig(NeoVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object
that specifies the VPC that this model has access to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object
that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect
to.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
- setVpcConfig(RecommendationJobVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
- setVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- setVpcEndpointId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
- setVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- setVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- setVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the VPC that the workforce uses for communication.
- setVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the VPC that the workforce uses for communication.
- setWaitIntervalInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The length of the baking period, during which SageMaker monitors alarms for each batch on the new fleet.
- setWaitIntervalInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
- setWarmPoolStatus(WarmPoolStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the warm pool associated with the training job.
- setWarmPoolStatus(WarmPoolStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the warm pool associated with the training job.
- setWarmPoolStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific warm pool status.
- setWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- setWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- setWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- setWarmStartType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- setWorkforce(Workforce) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceResult
-
A single private workforce, which is automatically created when you create your first private work team.
- setWorkforce(Workforce) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceResult
-
A single private workforce.
- setWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceResult
-
The Amazon Resource Name (ARN) of the workforce.
- setWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The Amazon Resource Name (ARN) of the private workforce.
- setWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) of the workforce.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
The name of the private workforce.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the workforce.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkforceRequest
-
The name of the workforce.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceRequest
-
The name of the private workforce whose access you want to restrict.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
The name of the private workforce that you want to update.
- setWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The name of the private workforce.
- setWorkforces(Collection<Workforce>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A list containing information about your workforce.
- setWorkforceVpcConfig(WorkforceVpcConfigRequest) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a workforce using VPC.
- setWorkforceVpcConfig(WorkforceVpcConfigRequest) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your VPC configuration for a workforce.
- setWorkforceVpcConfig(WorkforceVpcConfigResponse) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of a VPC workforce.
- setWorkGroup(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- setWorkRequesterAccountId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The Amazon Web Services account ID of the account used to start the labeling job.
- setWorkspaceSettings(WorkspaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The workspace settings for the SageMaker Canvas application.
- setWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- setWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Amazon Resource Name (ARN) of a team of workers.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- setWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- setWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- setWorkteams(Collection<Workteam>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- ShadowModeConfig - Class in com.amazonaws.services.sagemaker.model
-
The configuration of ShadowMode inference experiment type, which specifies a production variant to take
all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference
requests.
- ShadowModeConfig() - Constructor for class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
- ShadowModelVariantConfig - Class in com.amazonaws.services.sagemaker.model
-
The name and sampling percentage of a shadow variant.
- ShadowModelVariantConfig() - Constructor for class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
- SharingSettings - Class in com.amazonaws.services.sagemaker.model
-
Specifies options for sharing SageMaker Studio notebooks.
- SharingSettings() - Constructor for class com.amazonaws.services.sagemaker.model.SharingSettings
-
- ShuffleConfig - Class in com.amazonaws.services.sagemaker.model
-
A configuration for a shuffle option for input data in a channel.
- ShuffleConfig() - Constructor for class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
- shutdown() - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- shutdown() - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Shuts down this client object, releasing any resources that might be held open.
- shutdown() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
Shuts down the client, releasing all managed resources.
- shutdown() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
- shutdown() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
- SortActionsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortArtifactsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortAssociationsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortContextsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortExperimentsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortInferenceExperimentsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortLineageGroupsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortOrder - Enum in com.amazonaws.services.sagemaker.model
-
- SortPipelineExecutionsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortPipelinesBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortTrialComponentsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SortTrialsBy - Enum in com.amazonaws.services.sagemaker.model
-
- SourceAlgorithm - Class in com.amazonaws.services.sagemaker.model
-
Specifies an algorithm that was used to create the model package.
- SourceAlgorithm() - Constructor for class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
- SourceAlgorithmSpecification - Class in com.amazonaws.services.sagemaker.model
-
A list of algorithms that were used to create a model package.
- SourceAlgorithmSpecification() - Constructor for class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
- SourceIpConfig - Class in com.amazonaws.services.sagemaker.model
-
A list of IP address ranges (
CIDRs).
- SourceIpConfig() - Constructor for class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
- SpaceDetails - Class in com.amazonaws.services.sagemaker.model
-
The space's details.
- SpaceDetails() - Constructor for class com.amazonaws.services.sagemaker.model.SpaceDetails
-
- SpaceSettings - Class in com.amazonaws.services.sagemaker.model
-
A collection of space settings.
- SpaceSettings() - Constructor for class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- SpaceSortKey - Enum in com.amazonaws.services.sagemaker.model
-
- SpaceStatus - Enum in com.amazonaws.services.sagemaker.model
-
- SplitType - Enum in com.amazonaws.services.sagemaker.model
-
- StageStatus - Enum in com.amazonaws.services.sagemaker.model
-
- Stairs - Class in com.amazonaws.services.sagemaker.model
-
Defines the stairs traffic pattern for an Inference Recommender load test.
- Stairs() - Constructor for class com.amazonaws.services.sagemaker.model.Stairs
-
- standard() - Static method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClientBuilder
-
- standard() - Static method in class com.amazonaws.services.sagemaker.AmazonSageMakerClientBuilder
-
- startEdgeDeploymentStage(StartEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startEdgeDeploymentStage(StartEdgeDeploymentStageRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Starts a stage in an edge deployment plan.
- startEdgeDeploymentStage(StartEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Starts a stage in an edge deployment plan.
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest, AsyncHandler<StartEdgeDeploymentStageRequest, StartEdgeDeploymentStageResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a stage in an edge deployment plan.
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest, AsyncHandler<StartEdgeDeploymentStageRequest, StartEdgeDeploymentStageResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a stage in an edge deployment plan.
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest, AsyncHandler<StartEdgeDeploymentStageRequest, StartEdgeDeploymentStageResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartEdgeDeploymentStageRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartEdgeDeploymentStageRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
- StartEdgeDeploymentStageResult - Class in com.amazonaws.services.sagemaker.model
-
- StartEdgeDeploymentStageResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageResult
-
- startInferenceExperiment(StartInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startInferenceExperiment(StartInferenceExperimentRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Starts an inference experiment.
- startInferenceExperiment(StartInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Starts an inference experiment.
- startInferenceExperimentAsync(StartInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startInferenceExperimentAsync(StartInferenceExperimentRequest, AsyncHandler<StartInferenceExperimentRequest, StartInferenceExperimentResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startInferenceExperimentAsync(StartInferenceExperimentRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts an inference experiment.
- startInferenceExperimentAsync(StartInferenceExperimentRequest, AsyncHandler<StartInferenceExperimentRequest, StartInferenceExperimentResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts an inference experiment.
- startInferenceExperimentAsync(StartInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startInferenceExperimentAsync(StartInferenceExperimentRequest, AsyncHandler<StartInferenceExperimentRequest, StartInferenceExperimentResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartInferenceExperimentRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartInferenceExperimentRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartInferenceExperimentRequest
-
- StartInferenceExperimentResult - Class in com.amazonaws.services.sagemaker.model
-
- StartInferenceExperimentResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartInferenceExperimentResult
-
- startMonitoringSchedule(StartMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startMonitoringSchedule(StartMonitoringScheduleRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Starts a previously stopped monitoring schedule.
- startMonitoringSchedule(StartMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Starts a previously stopped monitoring schedule.
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest, AsyncHandler<StartMonitoringScheduleRequest, StartMonitoringScheduleResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a previously stopped monitoring schedule.
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest, AsyncHandler<StartMonitoringScheduleRequest, StartMonitoringScheduleResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a previously stopped monitoring schedule.
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startMonitoringScheduleAsync(StartMonitoringScheduleRequest, AsyncHandler<StartMonitoringScheduleRequest, StartMonitoringScheduleResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartMonitoringScheduleRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartMonitoringScheduleRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleRequest
-
- StartMonitoringScheduleResult - Class in com.amazonaws.services.sagemaker.model
-
- StartMonitoringScheduleResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleResult
-
- startNotebookInstance(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startNotebookInstance(StartNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstance(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- startNotebookInstanceAsync(StartNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startNotebookInstanceAsync(StartNotebookInstanceRequest, AsyncHandler<StartNotebookInstanceRequest, StartNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartNotebookInstanceRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartNotebookInstanceRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
- StartNotebookInstanceResult - Class in com.amazonaws.services.sagemaker.model
-
- StartNotebookInstanceResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartNotebookInstanceResult
-
- startPipelineExecution(StartPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- startPipelineExecution(StartPipelineExecutionRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Starts a pipeline execution.
- startPipelineExecution(StartPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Starts a pipeline execution.
- startPipelineExecutionAsync(StartPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startPipelineExecutionAsync(StartPipelineExecutionRequest, AsyncHandler<StartPipelineExecutionRequest, StartPipelineExecutionResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- startPipelineExecutionAsync(StartPipelineExecutionRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a pipeline execution.
- startPipelineExecutionAsync(StartPipelineExecutionRequest, AsyncHandler<StartPipelineExecutionRequest, StartPipelineExecutionResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Starts a pipeline execution.
- startPipelineExecutionAsync(StartPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- startPipelineExecutionAsync(StartPipelineExecutionRequest, AsyncHandler<StartPipelineExecutionRequest, StartPipelineExecutionResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StartPipelineExecutionRequest - Class in com.amazonaws.services.sagemaker.model
-
- StartPipelineExecutionRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
- StartPipelineExecutionResult - Class in com.amazonaws.services.sagemaker.model
-
- StartPipelineExecutionResult() - Constructor for class com.amazonaws.services.sagemaker.model.StartPipelineExecutionResult
-
- Statistic - Enum in com.amazonaws.services.sagemaker.model
-
- StepStatus - Enum in com.amazonaws.services.sagemaker.model
-
- stopAutoMLJob(StopAutoMLJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopAutoMLJob(StopAutoMLJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
A method for forcing a running job to shut down.
- stopAutoMLJob(StopAutoMLJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
A method for forcing a running job to shut down.
- stopAutoMLJobAsync(StopAutoMLJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopAutoMLJobAsync(StopAutoMLJobRequest, AsyncHandler<StopAutoMLJobRequest, StopAutoMLJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopAutoMLJobAsync(StopAutoMLJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
A method for forcing a running job to shut down.
- stopAutoMLJobAsync(StopAutoMLJobRequest, AsyncHandler<StopAutoMLJobRequest, StopAutoMLJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
A method for forcing a running job to shut down.
- stopAutoMLJobAsync(StopAutoMLJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopAutoMLJobAsync(StopAutoMLJobRequest, AsyncHandler<StopAutoMLJobRequest, StopAutoMLJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopAutoMLJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopAutoMLJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopAutoMLJobRequest
-
- StopAutoMLJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopAutoMLJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopAutoMLJobResult
-
- stopCompilationJob(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopCompilationJob(StopCompilationJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a model compilation job.
- stopCompilationJob(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a model compilation job.
- stopCompilationJobAsync(StopCompilationJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopCompilationJobAsync(StopCompilationJobRequest, AsyncHandler<StopCompilationJobRequest, StopCompilationJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopCompilationJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopCompilationJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
- StopCompilationJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopCompilationJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopCompilationJobResult
-
- stopEdgeDeploymentStage(StopEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopEdgeDeploymentStage(StopEdgeDeploymentStageRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a stage in an edge deployment plan.
- stopEdgeDeploymentStage(StopEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a stage in an edge deployment plan.
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest, AsyncHandler<StopEdgeDeploymentStageRequest, StopEdgeDeploymentStageResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a stage in an edge deployment plan.
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest, AsyncHandler<StopEdgeDeploymentStageRequest, StopEdgeDeploymentStageResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a stage in an edge deployment plan.
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest, AsyncHandler<StopEdgeDeploymentStageRequest, StopEdgeDeploymentStageResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopEdgeDeploymentStageRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopEdgeDeploymentStageRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
- StopEdgeDeploymentStageResult - Class in com.amazonaws.services.sagemaker.model
-
- StopEdgeDeploymentStageResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageResult
-
- stopEdgePackagingJob(StopEdgePackagingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopEdgePackagingJob(StopEdgePackagingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Request to stop an edge packaging job.
- stopEdgePackagingJob(StopEdgePackagingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Request to stop an edge packaging job.
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest, AsyncHandler<StopEdgePackagingJobRequest, StopEdgePackagingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Request to stop an edge packaging job.
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest, AsyncHandler<StopEdgePackagingJobRequest, StopEdgePackagingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Request to stop an edge packaging job.
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopEdgePackagingJobAsync(StopEdgePackagingJobRequest, AsyncHandler<StopEdgePackagingJobRequest, StopEdgePackagingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopEdgePackagingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopEdgePackagingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobRequest
-
- StopEdgePackagingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopEdgePackagingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobResult
-
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest, AsyncHandler<StopHyperParameterTuningJobRequest, StopHyperParameterTuningJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopHyperParameterTuningJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopHyperParameterTuningJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
- StopHyperParameterTuningJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopHyperParameterTuningJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobResult
-
- stopInferenceExperiment(StopInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopInferenceExperiment(StopInferenceExperimentRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops an inference experiment.
- stopInferenceExperiment(StopInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops an inference experiment.
- stopInferenceExperimentAsync(StopInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopInferenceExperimentAsync(StopInferenceExperimentRequest, AsyncHandler<StopInferenceExperimentRequest, StopInferenceExperimentResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopInferenceExperimentAsync(StopInferenceExperimentRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops an inference experiment.
- stopInferenceExperimentAsync(StopInferenceExperimentRequest, AsyncHandler<StopInferenceExperimentRequest, StopInferenceExperimentResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops an inference experiment.
- stopInferenceExperimentAsync(StopInferenceExperimentRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopInferenceExperimentAsync(StopInferenceExperimentRequest, AsyncHandler<StopInferenceExperimentRequest, StopInferenceExperimentResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopInferenceExperimentRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopInferenceExperimentRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
- StopInferenceExperimentResult - Class in com.amazonaws.services.sagemaker.model
-
- StopInferenceExperimentResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopInferenceExperimentResult
-
- stopInferenceRecommendationsJob(StopInferenceRecommendationsJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopInferenceRecommendationsJob(StopInferenceRecommendationsJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops an Inference Recommender job.
- stopInferenceRecommendationsJob(StopInferenceRecommendationsJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops an Inference Recommender job.
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest, AsyncHandler<StopInferenceRecommendationsJobRequest, StopInferenceRecommendationsJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops an Inference Recommender job.
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest, AsyncHandler<StopInferenceRecommendationsJobRequest, StopInferenceRecommendationsJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops an Inference Recommender job.
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest, AsyncHandler<StopInferenceRecommendationsJobRequest, StopInferenceRecommendationsJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopInferenceRecommendationsJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopInferenceRecommendationsJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobRequest
-
- StopInferenceRecommendationsJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopInferenceRecommendationsJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobResult
-
- stopLabelingJob(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopLabelingJob(StopLabelingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a running labeling job.
- stopLabelingJob(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a running labeling job.
- stopLabelingJobAsync(StopLabelingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopLabelingJobAsync(StopLabelingJobRequest, AsyncHandler<StopLabelingJobRequest, StopLabelingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopLabelingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopLabelingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
- StopLabelingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopLabelingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopLabelingJobResult
-
- stopMonitoringSchedule(StopMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopMonitoringSchedule(StopMonitoringScheduleRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a previously started monitoring schedule.
- stopMonitoringSchedule(StopMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a previously started monitoring schedule.
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest, AsyncHandler<StopMonitoringScheduleRequest, StopMonitoringScheduleResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a previously started monitoring schedule.
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest, AsyncHandler<StopMonitoringScheduleRequest, StopMonitoringScheduleResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a previously started monitoring schedule.
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopMonitoringScheduleAsync(StopMonitoringScheduleRequest, AsyncHandler<StopMonitoringScheduleRequest, StopMonitoringScheduleResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopMonitoringScheduleRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopMonitoringScheduleRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleRequest
-
- StopMonitoringScheduleResult - Class in com.amazonaws.services.sagemaker.model
-
- StopMonitoringScheduleResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleResult
-
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Terminates the ML compute instance.
- stopNotebookInstance(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Terminates the ML compute instance.
- stopNotebookInstanceAsync(StopNotebookInstanceRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopNotebookInstanceAsync(StopNotebookInstanceRequest, AsyncHandler<StopNotebookInstanceRequest, StopNotebookInstanceResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopNotebookInstanceRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopNotebookInstanceRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
- StopNotebookInstanceResult - Class in com.amazonaws.services.sagemaker.model
-
- StopNotebookInstanceResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopNotebookInstanceResult
-
- StoppingCondition - Class in com.amazonaws.services.sagemaker.model
-
Specifies a limit to how long a model training job or model compilation job can run.
- StoppingCondition() - Constructor for class com.amazonaws.services.sagemaker.model.StoppingCondition
-
- stopPipelineExecution(StopPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopPipelineExecution(StopPipelineExecutionRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a pipeline execution.
- stopPipelineExecution(StopPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a pipeline execution.
- stopPipelineExecutionAsync(StopPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopPipelineExecutionAsync(StopPipelineExecutionRequest, AsyncHandler<StopPipelineExecutionRequest, StopPipelineExecutionResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopPipelineExecutionAsync(StopPipelineExecutionRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a pipeline execution.
- stopPipelineExecutionAsync(StopPipelineExecutionRequest, AsyncHandler<StopPipelineExecutionRequest, StopPipelineExecutionResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a pipeline execution.
- stopPipelineExecutionAsync(StopPipelineExecutionRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopPipelineExecutionAsync(StopPipelineExecutionRequest, AsyncHandler<StopPipelineExecutionRequest, StopPipelineExecutionResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopPipelineExecutionRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopPipelineExecutionRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
- StopPipelineExecutionResult - Class in com.amazonaws.services.sagemaker.model
-
- StopPipelineExecutionResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopPipelineExecutionResult
-
- stopProcessingJob(StopProcessingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopProcessingJob(StopProcessingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a processing job.
- stopProcessingJob(StopProcessingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a processing job.
- stopProcessingJobAsync(StopProcessingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopProcessingJobAsync(StopProcessingJobRequest, AsyncHandler<StopProcessingJobRequest, StopProcessingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopProcessingJobAsync(StopProcessingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a processing job.
- stopProcessingJobAsync(StopProcessingJobRequest, AsyncHandler<StopProcessingJobRequest, StopProcessingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a processing job.
- stopProcessingJobAsync(StopProcessingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopProcessingJobAsync(StopProcessingJobRequest, AsyncHandler<StopProcessingJobRequest, StopProcessingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopProcessingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopProcessingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopProcessingJobRequest
-
- StopProcessingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopProcessingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopProcessingJobResult
-
- stopTrainingJob(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopTrainingJob(StopTrainingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a training job.
- stopTrainingJob(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a training job.
- stopTrainingJobAsync(StopTrainingJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopTrainingJobAsync(StopTrainingJobRequest, AsyncHandler<StopTrainingJobRequest, StopTrainingJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopTrainingJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopTrainingJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
- StopTrainingJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopTrainingJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopTrainingJobResult
-
- stopTransformJob(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- stopTransformJob(StopTransformJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
Stops a batch transform job.
- stopTransformJob(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
Stops a batch transform job.
- stopTransformJobAsync(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMakerAsync
-
- stopTransformJobAsync(StopTransformJobRequest) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a batch transform job.
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in interface com.amazonaws.services.sagemaker.AmazonSageMakerAsync
-
Stops a batch transform job.
- stopTransformJobAsync(StopTransformJobRequest) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- stopTransformJobAsync(StopTransformJobRequest, AsyncHandler<StopTransformJobRequest, StopTransformJobResult>) - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient
-
- StopTransformJobRequest - Class in com.amazonaws.services.sagemaker.model
-
- StopTransformJobRequest() - Constructor for class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
- StopTransformJobResult - Class in com.amazonaws.services.sagemaker.model
-
- StopTransformJobResult() - Constructor for class com.amazonaws.services.sagemaker.model.StopTransformJobResult
-
- StudioLifecycleConfigAppType - Enum in com.amazonaws.services.sagemaker.model
-
- StudioLifecycleConfigDetails - Class in com.amazonaws.services.sagemaker.model
-
Details of the Studio Lifecycle Configuration.
- StudioLifecycleConfigDetails() - Constructor for class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
- StudioLifecycleConfigSortKey - Enum in com.amazonaws.services.sagemaker.model
-
- SubscribedWorkteam - Class in com.amazonaws.services.sagemaker.model
-
Describes a work team of a vendor that does the a labelling job.
- SubscribedWorkteam() - Constructor for class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
- SuggestionQuery - Class in com.amazonaws.services.sagemaker.model
-
- SuggestionQuery() - Constructor for class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
- TableFormat - Enum in com.amazonaws.services.sagemaker.model
-
- TabularJobConfig - Class in com.amazonaws.services.sagemaker.model
-
The collection of settings used by an AutoML job V2 for the TABULAR problem type.
- TabularJobConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
- TabularResolvedAttributes - Class in com.amazonaws.services.sagemaker.model
-
The resolved attributes specific to the TABULAR problem type.
- TabularResolvedAttributes() - Constructor for class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
- Tag - Class in com.amazonaws.services.sagemaker.model
-
A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services
resources.
- Tag() - Constructor for class com.amazonaws.services.sagemaker.model.Tag
-
- TargetDevice - Enum in com.amazonaws.services.sagemaker.model
-
- TargetPlatform - Class in com.amazonaws.services.sagemaker.model
-
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
- TargetPlatform() - Constructor for class com.amazonaws.services.sagemaker.model.TargetPlatform
-
- TargetPlatformAccelerator - Enum in com.amazonaws.services.sagemaker.model
-
- TargetPlatformArch - Enum in com.amazonaws.services.sagemaker.model
-
- TargetPlatformOs - Enum in com.amazonaws.services.sagemaker.model
-
- TargetTrackingScalingPolicyConfiguration - Class in com.amazonaws.services.sagemaker.model
-
A target tracking scaling policy.
- TargetTrackingScalingPolicyConfiguration() - Constructor for class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
- TensorBoardAppSettings - Class in com.amazonaws.services.sagemaker.model
-
The TensorBoard app settings.
- TensorBoardAppSettings() - Constructor for class com.amazonaws.services.sagemaker.model.TensorBoardAppSettings
-
- TensorBoardOutputConfig - Class in com.amazonaws.services.sagemaker.model
-
Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
- TensorBoardOutputConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
- TextClassificationJobConfig - Class in com.amazonaws.services.sagemaker.model
-
Stores the configuration information for the text classification problem of an AutoML job V2.
- TextClassificationJobConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
- TimeSeriesConfig - Class in com.amazonaws.services.sagemaker.model
-
The collection of components that defines the time-series.
- TimeSeriesConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
- TimeSeriesForecastingJobConfig - Class in com.amazonaws.services.sagemaker.model
-
The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
- TimeSeriesForecastingJobConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
- TimeSeriesForecastingSettings - Class in com.amazonaws.services.sagemaker.model
-
Time series forecast settings for the SageMaker Canvas application.
- TimeSeriesForecastingSettings() - Constructor for class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
- TimeSeriesTransformations - Class in com.amazonaws.services.sagemaker.model
-
Transformations allowed on the dataset.
- TimeSeriesTransformations() - Constructor for class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ActionStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AggregationTransformationValue
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Alarm
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AlgorithmSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AlgorithmStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppImageConfigSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppInstanceType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppNetworkAccessType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppSecurityGroupManagement
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AppType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ArtifactSourceIdType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AssemblyType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AssociationEdgeType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceClientConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AsyncNotificationTopicTypes
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AthenaResultCompressionType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AthenaResultFormat
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AuthMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLAlgorithm
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLChannelType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobObjective
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLJobObjectiveType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLJobSecondaryStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLMetricEnum
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLMetricExtendedEnum
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLPartialFailureReason
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfigName
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeResolvedAttributes
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLProcessingUnit
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLS3DataType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutoMLSortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.AutoRollbackConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Autotune
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AutotuneMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.AwsManagedHumanLoopRequestSource
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.BatchStrategy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BestObjectiveNotImproving
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Bias
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.BooleanOperator
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CacheHitResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CandidateGenerationConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CandidateSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CandidateStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CandidateStepType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CapacitySizeType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CaptureMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CaptureOption
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CaptureStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Channel
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ClarifyFeatureType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ClarifyTextGranularity
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ClarifyTextLanguage
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CodeRepository
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CodeRepositorySortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CodeRepositorySortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CompilationJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CompleteOnConvergence
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CompressionType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ConditionOutcome
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ConditionStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ContainerMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ContentClassifier
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ConvergenceDetected
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateActionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAppResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Result
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateContextResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHubResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateImageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateTrialResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.CrossAccountFilterOption
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DataDistributionType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DataSourceName
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteActionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteActionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppImageConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppImageConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAppResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteContextRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteContextResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDataQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDataQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDeviceFleetRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDeviceFleetResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentPlanRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentPlanResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteFeatureGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteFeatureGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteFlowDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteFlowDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHubResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHumanTaskUiRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteHumanTaskUiResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelBiasJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelBiasJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelCardRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelCardResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelExplainabilityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelExplainabilityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupPolicyRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupPolicyResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteProjectRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteProjectResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteStudioLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteStudioLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkforceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkforceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DerivedInformation
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Request
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DetailedAlgorithmStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DetailedModelPackageStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Device
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DeviceDeploymentStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DeviceSubsetType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DirectInternetAccess
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Direction
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DisableSagemakerServicecatalogPortfolioRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DisableSagemakerServicecatalogPortfolioResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.DomainStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Edge
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EdgePackagingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EdgePresetDeploymentStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EdgePresetDeploymentType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EnableSagemakerServicecatalogPortfolioRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EnableSagemakerServicecatalogPortfolioResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointConfigSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointInfo
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.EndpointStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameterRanges
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ExecutionRoleIdentityConfig
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ExecutionStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Explainability
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ExplainerConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FailStepMetadata
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FailureHandlingPolicy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FeatureGroupSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FeatureGroupSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FeatureGroupStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FeatureStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FeatureType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FileSystemAccessMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FileSystemType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FillingType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Filter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FlatInvocations
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.FlowDefinitionStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Framework
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HubContentSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HubContentStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HubContentType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HubS3StorageConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HubSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HubStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConditionsConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanLoopRequestSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HumanTaskUiStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterScalingType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningAllocationStrategy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConsumedResources
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjectiveType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSortByOptions
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Image
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ImageClassificationJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageVersionSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageVersionSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ImageVersionStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceExecutionConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InferenceExecutionMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InferenceExperimentStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InferenceExperimentStopDesiredState
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InferenceExperimentType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InputMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.InstanceMetadataServiceConfiguration
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.InstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.JobType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.JoinSource
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSnsDataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.LabelingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.LastUpdateStatusValue
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.LineageType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListCompilationJobsSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListDeviceFleetsSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamSortByOptions
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListWorkforcesSortByOptions
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ListWorkteamsSortByOptions
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MetricSetSource
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Model
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelApprovalStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCacheSetting
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportArtifacts
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardExportJobSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardExportJobSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardExportJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportOutputConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardProcessingStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSecurityConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCardVersionSortBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelCompressionType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardIndicatorAction
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDeployResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelDigests
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelInfrastructureType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelMetadataFilterType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSearchExpression
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageGroupSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageGroupStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelPackageType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelVariantAction
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ModelVariantStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertActions
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringAlertStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringConstraintsResource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringCsvDatasetFormat
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringExecutionSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringGroundTruthS3Input
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringJsonDatasetFormat
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringParquetDatasetFormat
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringProblemType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringResources
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringScheduleSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringStatisticsResource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.MonitoringStoppingCondition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.MonitoringType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.MultiModelConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceAcceleratorType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookInstanceStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.NotebookOutputOption
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ObjectiveStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.OfflineStoreStatusValue
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OidcMemberDefinition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfigUpdate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreSecurityConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Operator
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.OrderKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.OutputCompressionType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParallelismConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ParameterType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Parent
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.PipelineExecutionStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.PipelineStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PredefinedMetricSpecification
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProblemType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingFeatureStoreOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingResources
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingS3CompressionType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingS3DataDistributionType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingS3DataType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingS3InputMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProcessingS3UploadMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProcessingStoppingCondition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Processor
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProductionVariantAcceleratorType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProductionVariantInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProfilingStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Project
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProjectSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProjectSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ProjectStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobCompiledOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecommendationJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecommendationJobSupportedEndpointType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecommendationJobType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecommendationStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecommendationStepType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RecordWrapper
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RedshiftResultCompressionType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RedshiftResultFormat
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RegisterModelStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RepositoryAccessMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RepositoryAuthConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ResourceCatalogSortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ResourceCatalogSortOrder
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceConfigForUpdate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ResourceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RetentionPolicy
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RetentionType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RetryStrategy
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RootAccess
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RStudioServerProAccessStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RStudioServerProUserGroup
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.RuleEvaluationStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3DataDistribution
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3DataType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.S3ModelDataType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SagemakerServicecatalogStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicy
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ScheduleConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.ScheduleStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SearchSortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SecondaryStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SelectedStep
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortActionsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortArtifactsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortAssociationsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortContextsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortExperimentsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortInferenceExperimentsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortLineageGroupsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortOrder
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortPipelineExecutionsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortPipelinesBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortTrialComponentsBy
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SortTrialsBy
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SpaceSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SpaceStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.SplitType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.StageStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.Statistic
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.StepStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopAutoMLJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopAutoMLJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopProcessingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopProcessingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobResult
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.StudioLifecycleConfigAppType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.StudioLifecycleConfigSortKey
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TableFormat
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Tag
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TargetDevice
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TargetPlatformAccelerator
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TargetPlatformArch
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TargetPlatformOs
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TensorBoardAppSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrafficRoutingConfigType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrafficType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInputMode
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobEarlyStoppingType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobSortByOptions
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrainingRepositoryAccessMode
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingRepositoryAuthConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TransformInstanceType
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TransformJobStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJobStepMetadata
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TrialComponentPrimaryStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.TtlDurationUnit
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.TuningJobStepMetaData
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateActionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateContextResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateHubResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.USD
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.UserProfileSortKey
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.UserProfileStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.VariantProperty
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.VariantPropertyType
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.VariantStatus
-
- toString() - Method in enum com.amazonaws.services.sagemaker.model.VendorGuidance
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.WarmPoolResourceStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
Returns a string representation of this object.
- toString() - Method in enum com.amazonaws.services.sagemaker.model.WorkforceStatus
-
- toString() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
Returns a string representation of this object.
- toString() - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
Returns a string representation of this object.
- TrafficPattern - Class in com.amazonaws.services.sagemaker.model
-
Defines the traffic pattern of the load test.
- TrafficPattern() - Constructor for class com.amazonaws.services.sagemaker.model.TrafficPattern
-
- TrafficRoutingConfig - Class in com.amazonaws.services.sagemaker.model
-
Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new
fleet.
- TrafficRoutingConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
- TrafficRoutingConfigType - Enum in com.amazonaws.services.sagemaker.model
-
- TrafficType - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingImageConfig - Class in com.amazonaws.services.sagemaker.model
-
The configuration to use an image from a private Docker registry for a training job.
- TrainingImageConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
- TrainingInputMode - Enum in com.amazonaws.services.sagemaker.model
-
The training input mode that the algorithm supports.
- TrainingInstanceType - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJob - Class in com.amazonaws.services.sagemaker.model
-
Contains information about a training job.
- TrainingJob() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJob
-
- trainingJobCompletedOrStopped() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
Builds a TrainingJobCompletedOrStopped waiter by using custom parameters waiterParameters and other parameters
defined in the waiters specification, and then polls until it determines whether the resource entered the desired
state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
- TrainingJobDefinition - Class in com.amazonaws.services.sagemaker.model
-
Defines the input needed to run a training job using the algorithm.
- TrainingJobDefinition() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- TrainingJobEarlyStoppingType - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobSortByOptions - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingJobStatusCounters - Class in com.amazonaws.services.sagemaker.model
-
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
- TrainingJobStatusCounters() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
- TrainingJobStepMetadata - Class in com.amazonaws.services.sagemaker.model
-
Metadata for a training job step.
- TrainingJobStepMetadata() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobStepMetadata
-
- TrainingJobSummary - Class in com.amazonaws.services.sagemaker.model
-
Provides summary information about a training job.
- TrainingJobSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
- TrainingRepositoryAccessMode - Enum in com.amazonaws.services.sagemaker.model
-
- TrainingRepositoryAuthConfig - Class in com.amazonaws.services.sagemaker.model
-
An object containing authentication information for a private Docker registry.
- TrainingRepositoryAuthConfig() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingRepositoryAuthConfig
-
- TrainingSpecification - Class in com.amazonaws.services.sagemaker.model
-
Defines how the algorithm is used for a training job.
- TrainingSpecification() - Constructor for class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
- TransformDataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the location of the channel data.
- TransformDataSource() - Constructor for class com.amazonaws.services.sagemaker.model.TransformDataSource
-
- TransformInput - Class in com.amazonaws.services.sagemaker.model
-
Describes the input source of a transform job and the way the transform job consumes it.
- TransformInput() - Constructor for class com.amazonaws.services.sagemaker.model.TransformInput
-
- TransformInstanceType - Enum in com.amazonaws.services.sagemaker.model
-
- TransformJob - Class in com.amazonaws.services.sagemaker.model
-
A batch transform job.
- TransformJob() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJob
-
- transformJobCompletedOrStopped() - Method in class com.amazonaws.services.sagemaker.waiters.AmazonSageMakerWaiters
-
Builds a TransformJobCompletedOrStopped waiter by using custom parameters waiterParameters and other parameters
defined in the waiters specification, and then polls until it determines whether the resource entered the desired
state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.
- TransformJobDefinition - Class in com.amazonaws.services.sagemaker.model
-
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
- TransformJobDefinition() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
- TransformJobStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TransformJobStepMetadata - Class in com.amazonaws.services.sagemaker.model
-
Metadata for a transform job step.
- TransformJobStepMetadata() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJobStepMetadata
-
- TransformJobSummary - Class in com.amazonaws.services.sagemaker.model
-
Provides a summary of a transform job.
- TransformJobSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
- TransformOutput - Class in com.amazonaws.services.sagemaker.model
-
Describes the results of a transform job.
- TransformOutput() - Constructor for class com.amazonaws.services.sagemaker.model.TransformOutput
-
- TransformResources - Class in com.amazonaws.services.sagemaker.model
-
Describes the resources, including ML instance types and ML instance count, to use for transform job.
- TransformResources() - Constructor for class com.amazonaws.services.sagemaker.model.TransformResources
-
- TransformS3DataSource - Class in com.amazonaws.services.sagemaker.model
-
Describes the S3 data source.
- TransformS3DataSource() - Constructor for class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
- Trial - Class in com.amazonaws.services.sagemaker.model
-
The properties of a trial as returned by the
Search API.
- Trial() - Constructor for class com.amazonaws.services.sagemaker.model.Trial
-
- TrialComponent - Class in com.amazonaws.services.sagemaker.model
-
The properties of a trial component as returned by the
Search API.
- TrialComponent() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponent
-
- TrialComponentArtifact - Class in com.amazonaws.services.sagemaker.model
-
Represents an input or output artifact of a trial component.
- TrialComponentArtifact() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
- TrialComponentMetricSummary - Class in com.amazonaws.services.sagemaker.model
-
A summary of the metrics of a trial component.
- TrialComponentMetricSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
- TrialComponentParameterValue - Class in com.amazonaws.services.sagemaker.model
-
The value of a hyperparameter.
- TrialComponentParameterValue() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
- TrialComponentPrimaryStatus - Enum in com.amazonaws.services.sagemaker.model
-
- TrialComponentSimpleSummary - Class in com.amazonaws.services.sagemaker.model
-
A short summary of a trial component.
- TrialComponentSimpleSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- TrialComponentSource - Class in com.amazonaws.services.sagemaker.model
-
The Amazon Resource Name (ARN) and job type of the source of a trial component.
- TrialComponentSource() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
- TrialComponentSourceDetail - Class in com.amazonaws.services.sagemaker.model
-
Detailed information about the source of a trial component.
- TrialComponentSourceDetail() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
- TrialComponentStatus - Class in com.amazonaws.services.sagemaker.model
-
The status of the trial component.
- TrialComponentStatus() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
- TrialComponentSummary - Class in com.amazonaws.services.sagemaker.model
-
A summary of the properties of a trial component.
- TrialComponentSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
- TrialSource - Class in com.amazonaws.services.sagemaker.model
-
The source of the trial.
- TrialSource() - Constructor for class com.amazonaws.services.sagemaker.model.TrialSource
-
- TrialSummary - Class in com.amazonaws.services.sagemaker.model
-
A summary of the properties of a trial.
- TrialSummary() - Constructor for class com.amazonaws.services.sagemaker.model.TrialSummary
-
- TtlDuration - Class in com.amazonaws.services.sagemaker.model
-
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt
= EventTime + TtlDuration.
- TtlDuration() - Constructor for class com.amazonaws.services.sagemaker.model.TtlDuration
-
- TtlDurationUnit - Enum in com.amazonaws.services.sagemaker.model
-
- TuningJobCompletionCriteria - Class in com.amazonaws.services.sagemaker.model
-
The job completion criteria.
- TuningJobCompletionCriteria() - Constructor for class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
- TuningJobStepMetaData - Class in com.amazonaws.services.sagemaker.model
-
Metadata for a tuning step.
- TuningJobStepMetaData() - Constructor for class com.amazonaws.services.sagemaker.model.TuningJobStepMetaData
-
- waiters() - Method in class com.amazonaws.services.sagemaker.AbstractAmazonSageMaker
-
- waiters() - Method in interface com.amazonaws.services.sagemaker.AmazonSageMaker
-
- waiters() - Method in class com.amazonaws.services.sagemaker.AmazonSageMakerClient
-
- WarmPoolResourceStatus - Enum in com.amazonaws.services.sagemaker.model
-
- WarmPoolStatus - Class in com.amazonaws.services.sagemaker.model
-
Status and billing information about the warm pool.
- WarmPoolStatus() - Constructor for class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
- withAccelerator(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform accelerator (optional).
- withAccelerator(TargetPlatformAccelerator) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform accelerator (optional).
- withAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorType(ProductionVariantAcceleratorType) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorType(ProductionVariantAcceleratorType) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size of the Elastic Inference (EI) instance to use for the production variant.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A list of Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A list of the Elastic Inference (EI) instance types associated with this notebook instance.
- withAcceleratorTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAcceleratorTypes(NotebookInstanceAcceleratorType...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to associate with this notebook instance.
- withAccept(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The MIME type used to specify the output data.
- withAccessStatus(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
Indicates whether the current user has access to the RStudioServerPro app.
- withAccessStatus(RStudioServerProAccessStatus) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
Indicates whether the current user has access to the RStudioServerPro app.
- withActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The Amazon Resource Name (ARN) of the action.
- withActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionResult
-
The Amazon Resource Name (ARN) of the action.
- withActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteActionResult
-
The Amazon Resource Name (ARN) of the action.
- withActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the action.
- withActionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionResult
-
The Amazon Resource Name (ARN) of the action.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The name of the action.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The name of the action.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteActionRequest
-
The name of the action to delete.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionRequest
-
The name of the action to describe.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The name of the action.
- withActionName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The name of the action to update.
- withActions(MonitoringAlertActions) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A list of alert actions taken in response to an alert going into InAlert status.
- withActionSummaries(ActionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A list of actions and their properties.
- withActionSummaries(Collection<ActionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A list of actions and their properties.
- withActionType(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The type of the action.
- withActionType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The action type.
- withActionType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The type of the action.
- withActionType(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions of the specified type.
- withActiveDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version, a heart beat, and are currently running.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
An array of up to three Git repositories associated with the notebook instance.
- withAdditionalCodeRepositories(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositories(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
An array of up to three Git repositories to associate with the notebook instance.
- withAdditionalCodeRepositoryEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with associated with the specified git repository.
- withAdditionalInferenceSpecifications(AdditionalInferenceSpecificationDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecifications(AdditionalInferenceSpecificationDefinition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecifications(AdditionalInferenceSpecificationDefinition...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecifications(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
An array of additional Inference Specification objects.
- withAdditionalInferenceSpecificationsToAdd(AdditionalInferenceSpecificationDefinition...) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
An array of additional Inference Specification objects to be added to the existing array additional Inference
Specification.
- withAdditionalInferenceSpecificationsToAdd(Collection<AdditionalInferenceSpecificationDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
An array of additional Inference Specification objects to be added to the existing array additional Inference
Specification.
- withAgentCount(Long) - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
The number of Edge Manager agents.
- withAgentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Edge Manager agent version.
- withAgentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Edge Manager agent version.
- withAgentVersions(AgentVersion...) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The versions of Edge Manager agent deployed on the fleet.
- withAgentVersions(Collection<AgentVersion>) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The versions of Edge Manager agent deployed on the fleet.
- withAggregation(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the aggregation method for a column, where the key is the column name and the value is
the aggregation method.
- withAlarmName(String) - Method in class com.amazonaws.services.sagemaker.model.Alarm
-
The name of a CloudWatch alarm in your account.
- withAlarms(Alarm...) - Method in class com.amazonaws.services.sagemaker.model.AutoRollbackConfig
-
List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint.
- withAlarms(Collection<Alarm>) - Method in class com.amazonaws.services.sagemaker.model.AutoRollbackConfig
-
List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint.
- withAlertStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The current alert status of an alert.
- withAlertStatus(MonitoringAlertStatus) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The current alert status of an alert.
- withAlertStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The current status of an alert.
- withAlertStatus(MonitoringAlertStatus) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The current status of an alert.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The Amazon Resource Name (ARN) of the algorithm.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmResult
-
The Amazon Resource Name (ARN) of the new algorithm.
- withAlgorithmArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The Amazon Resource Name (ARN) of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A brief description of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
A description of the algorithm.
- withAlgorithmDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A brief summary about the algorithm.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The name of the algorithm resource to use for the training job.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The name of the algorithm that is described by the summary.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
The name of the algorithm.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAlgorithmRequest
-
The name of the algorithm to delete.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmRequest
-
The name of the algorithm to describe.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The name of the algorithm being described.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The name of the resource algorithm to use for the hyperparameter tuning job.
- withAlgorithmName(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The name of an algorithm that was used to create the model package.
- withAlgorithmsConfig(AutoMLAlgorithmConfig...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train the model candidates.
- withAlgorithmsConfig(Collection<AutoMLAlgorithmConfig>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train the model candidates.
- withAlgorithmsConfig(AutoMLAlgorithmConfig...) - Method in class com.amazonaws.services.sagemaker.model.CandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
- withAlgorithmsConfig(Collection<AutoMLAlgorithmConfig>) - Method in class com.amazonaws.services.sagemaker.model.CandidateGenerationConfig
-
Stores the configuration information for the selection of algorithms used to train model candidates on tabular
data.
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata,
including the input mode.
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the algorithm used for training, and algorithm metadata.
- withAlgorithmSpecification(HyperParameterAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withAlgorithmSpecification(AlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the algorithm used for training, and algorithm metadata.
- withAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- withAlgorithmStatus(AlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
The overall status of the algorithm.
- withAlgorithmStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- withAlgorithmStatus(AlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The current status of the algorithm.
- withAlgorithmStatusDetails(AlgorithmStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about the current status of the algorithm.
- withAlgorithmSummaryList(AlgorithmSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- withAlgorithmSummaryList(Collection<AlgorithmSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
>An array of AlgorithmSummary objects, each of which lists an algorithm.
- withAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The alias of the image to delete.
- withAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The alias of the image version.
- withAlias(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The alias of the image version.
- withAlias(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The alias of the image version.
- withAliases(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A list of aliases created with the image version.
- withAliases(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A list of aliases created with the image version.
- withAliasesToAdd(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to add.
- withAliasesToAdd(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to add.
- withAliasesToDelete(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to delete.
- withAliasesToDelete(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
A list of aliases to delete.
- withAllocationStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The strategy that determines the order of preference for resources specified in InstanceConfigs used
in hyperparameter optimization.
- withAllocationStrategy(HyperParameterTuningAllocationStrategy) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The strategy that determines the order of preference for resources specified in InstanceConfigs used
in hyperparameter optimization.
- withAmazonForecastRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
The IAM role that Canvas passes to Amazon Forecast for time series forecasting.
- withAmountInUsd(USD) - Method in class com.amazonaws.services.sagemaker.model.PublicWorkforceTaskPrice
-
Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
- withAnnotationConsolidationConfig(AnnotationConsolidationConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Configures how labels are consolidated across human workers.
- withAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.AnnotationConsolidationConfig
-
The Amazon Resource Name (ARN) of a Lambda function implements the logic for
annotation
consolidation and to process output data.
- withAnnotationConsolidationLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers
into a label for a data object.
- withAppArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppResult
-
The Amazon Resource Name (ARN) of the app.
- withAppArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The Amazon Resource Name (ARN) of the app.
- withAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- withAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- withAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The Amazon Resource Name (ARN) of the AppImageConfig.
- withAppImageConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigResult
-
The Amazon Resource Name (ARN) for the AppImageConfig.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The name of the AppImageConfig.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The name of the AppImageConfig.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the AppImageConfig.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppImageConfigRequest
-
The name of the AppImageConfig to delete.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigRequest
-
The name of the AppImageConfig to describe.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The name of the AppImageConfig.
- withAppImageConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The name of the AppImageConfig to update.
- withAppImageConfigs(AppImageConfigDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A list of AppImageConfigs and their properties.
- withAppImageConfigs(Collection<AppImageConfigDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A list of AppImageConfigs and their properties.
- withAppManaged(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
When True, input operations such as data download are managed natively by the processing job
application.
- withAppManaged(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
When True, output operations such as data upload are managed natively by the processing job
application.
- withAppName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the app.
- withAppName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the app.
- withAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the app.
- withAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the app.
- withAppName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the app.
- withAppNetworkAccessType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Specifies the VPC used for non-EFS traffic.
- withAppNetworkAccessType(AppNetworkAccessType) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Specifies the VPC used for non-EFS traffic.
- withAppNetworkAccessType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Specifies the VPC used for non-EFS traffic.
- withAppNetworkAccessType(AppNetworkAccessType) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Specifies the VPC used for non-EFS traffic.
- withApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A description provided for the model approval.
- withApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A description provided when the model approval is set.
- withApprovalDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
A description for the approval status of the model.
- withApps(AppDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
The list of apps.
- withApps(Collection<AppDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
The list of apps.
- withAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSecurityGroupManagement(AppSecurityGroupManagement) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSecurityGroupManagement(AppSecurityGroupManagement) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSecurityGroupManagement(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSecurityGroupManagement(AppSecurityGroupManagement) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The entity that creates and manages the required security groups for inter-app communication in
VPCOnly mode.
- withAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Configures the processing job to run a specified Docker container image.
- withAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Configures the processing job to run a specified container image.
- withAppSpecification(AppSpecification) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withAppType(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The type of app.
- withAppType(AppType) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The type of app.
- withAppType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The type of app.
- withAppType(AppType) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The type of app.
- withAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The type of app.
- withAppType(AppType) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The type of app.
- withAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The type of app.
- withAppType(AppType) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The type of app.
- withAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The type of app.
- withAppType(AppType) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The type of app.
- withAppTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A parameter to search for the App Type to which the Lifecycle Configuration is attached.
- withAppTypeEquals(StudioLifecycleConfigAppType) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A parameter to search for the App Type to which the Lifecycle Configuration is attached.
- withArch(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform architecture.
- withArch(TargetPlatformArch) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform architecture.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the inference experiment being described.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The Amazon Resource Name (ARN) of the IAM identity.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelStepMetadata
-
The Amazon Resource Name (ARN) of the created model.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobStepMetadata
-
The Amazon Resource Name (ARN) of the processing job.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.RegisterModelStepMetadata
-
The Amazon Resource Name (ARN) of the model package.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.TuningJobStepMetaData
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- withArn(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The Amazon Resource Name (ARN) of the lineage entity resource.
- withArtifact(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The Amazon Resource Name (ARN) of the generated deployable resource.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The Amazon Resource Name (ARN) of the artifact.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to delete.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to describe.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The Amazon Resource Name (ARN) of the artifact to update.
- withArtifactArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactResult
-
The Amazon Resource Name (ARN) of the artifact.
- withArtifactDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDigests
-
Provides a hash value that uniquely identifies the stored model artifacts.
- withArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The name of the artifact.
- withArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The name of the artifact.
- withArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The name of the artifact.
- withArtifactName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new name for the artifact.
- withArtifactSummaries(ArtifactSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A list of artifacts and their properties.
- withArtifactSummaries(Collection<ArtifactSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A list of artifacts and their properties.
- withArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The type of the artifact.
- withArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The artifact type.
- withArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The type of the artifact.
- withArtifactType(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts of the specified type.
- withAssembleWith(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- withAssembleWith(AssemblyType) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
Defines how to assemble the results of the transform job as a single S3 object.
- withAssociationSummaries(AssociationSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A list of associations and their properties.
- withAssociationSummaries(Collection<AssociationSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A list of associations and their properties.
- withAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The type of association.
- withAssociationType(AssociationEdgeType) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The type of association.
- withAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The type of the association.
- withAssociationType(AssociationEdgeType) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The type of the association.
- withAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The type of the Association(Edge) between the source and destination.
- withAssociationType(AssociationEdgeType) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The type of the Association(Edge) between the source and destination.
- withAssociationType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations of the specified type.
- withAssociationType(AssociationEdgeType) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations of the specified type.
- withAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
Specifies configuration for how an endpoint performs asynchronous inference.
- withAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- withAsyncInferenceConfig(AsyncInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withAthenaDatasetDefinition(AthenaDatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- withAttemptCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The current attempt of the execution step.
- withAttributeNames(String...) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- withAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of one or more attribute names to use that are found in a specified augmented manifest file.
- withAuthMode(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The mode of authentication that members use to access the domain.
- withAuthMode(AuthMode) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The mode of authentication that members use to access the domain.
- withAuthMode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's authentication mode.
- withAuthMode(AuthMode) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's authentication mode.
- withAuthorizationEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- withAuthorizationEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP authorization endpoint used to configure your private workforce.
- withAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlResult
-
The presigned URL.
- withAuthorizedUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlResult
-
A JSON object that contains the URL string.
- withAutoGenerateEndpointName(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment;
set to False otherwise.
- withAutoMLAlgorithms(String...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
- withAutoMLAlgorithms(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
- withAutoMLAlgorithms(AutoMLAlgorithm...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLAlgorithmConfig
-
The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
- withAutoMLJob(AutoMLJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The ARN of the AutoML job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobResult
-
The unique ARN assigned to the AutoML job when it is created.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Result
-
The unique ARN assigned to the AutoMLJob when it is created.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the ARN of the AutoML job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the Amazon Resource Name (ARN) of the AutoML job V2.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of an AutoML job associated with this processing job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of an AutoML job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the AutoML transform job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the job.
- withAutoMLJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
- withAutoMLJobArtifacts(AutoMLJobArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns information on the job's artifacts found in AutoMLJobArtifacts.
- withAutoMLJobArtifacts(AutoMLJobArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
- withAutoMLJobConfig(AutoMLJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
A collection of settings used to configure an AutoML job.
- withAutoMLJobConfig(AutoMLJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the configuration for the AutoML job.
- withAutoMLJobInputDataConfig(AutoMLJobChannel...) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of channel objects describing the input data and their location.
- withAutoMLJobInputDataConfig(Collection<AutoMLJobChannel>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of channel objects describing the input data and their location.
- withAutoMLJobInputDataConfig(AutoMLJobChannel...) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns an array of channel objects describing the input data and their location.
- withAutoMLJobInputDataConfig(Collection<AutoMLJobChannel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns an array of channel objects describing the input data and their location.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The name of the AutoML job you are requesting.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Identifies an Autopilot job.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Identifies an Autopilot job.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobRequest
-
Requests information about an AutoML job using its unique name.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the name of the AutoML job.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Request
-
Requests information about an AutoML job V2 using its unique name.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the AutoML job V2.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates created for the job by providing the job's name.
- withAutoMLJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopAutoMLJobRequest
-
The name of the object you are requesting.
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies a metric to minimize or maximize as the objective of a job.
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies a metric to minimize or maximize as the objective of a job.
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's objective.
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's objective.
- withAutoMLJobObjective(AutoMLJobObjective) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- withAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The secondary status of the AutoML job.
- withAutoMLJobSecondaryStatus(AutoMLJobSecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The secondary status of the AutoML job.
- withAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the secondary status of the AutoML job.
- withAutoMLJobSecondaryStatus(AutoMLJobSecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the secondary status of the AutoML job.
- withAutoMLJobSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the secondary status of the AutoML job V2.
- withAutoMLJobSecondaryStatus(AutoMLJobSecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the secondary status of the AutoML job V2.
- withAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The status of the AutoML job.
- withAutoMLJobStatus(AutoMLJobStatus) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The status of the AutoML job.
- withAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the status of the AutoML job.
- withAutoMLJobStatus(AutoMLJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the status of the AutoML job.
- withAutoMLJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the status of the AutoML job V2.
- withAutoMLJobStatus(AutoMLJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the status of the AutoML job V2.
- withAutoMLJobSummaries(AutoMLJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
Returns a summary list of jobs.
- withAutoMLJobSummaries(Collection<AutoMLJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
Returns a summary list of jobs.
- withAutoMLProblemTypeConfig(AutoMLProblemTypeConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Defines the configuration settings of one of the supported problem types.
- withAutoMLProblemTypeConfig(AutoMLProblemTypeConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of the problem type set for the AutoML job V2.
- withAutoMLProblemTypeConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the problem type configuration set for the AutoML job V2.
- withAutoMLProblemTypeConfigName(AutoMLProblemTypeConfigName) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the name of the problem type configuration set for the AutoML job V2.
- withAutoMLProblemTypeResolvedAttributes(AutoMLProblemTypeResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
Defines the resolved attributes specific to a problem type.
- withAutoParameters(AutoParameter...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for
your tuning job.
- withAutoParameters(Collection<AutoParameter>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for
your tuning job.
- withAutoRollbackConfiguration(AutoRollbackConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Automatic rollback configuration for handling endpoint deployment failures and recovery.
- withAutotune(Autotune) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following
fields:
- withAutotune(Autotune) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
- withAvg(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The average value of the metric.
- withAwsManagedHumanLoopRequestSource(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopRequestSource
-
Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source.
- withAwsManagedHumanLoopRequestSource(AwsManagedHumanLoopRequestSource) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopRequestSource
-
Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source.
- withBacktestResults(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window.
- withBaseImage(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The registry path of the container image to use as the starting point for this version.
- withBaseImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image on which this image version is based.
- withBaselineConfig(MonitoringBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
- withBaselineUsedForDriftCheckConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of baseline constraints file to be used for the drift check.
- withBaselineUsedForDriftCheckConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline constraints file used for the drift check.
- withBaselineUsedForDriftCheckStatistics(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the baseline statistics file used for the drift check.
- withBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
The name of the job that performs baselining for the data quality monitoring job.
- withBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
The name of the baseline model bias job.
- withBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
The name of the baseline model explainability job.
- withBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- withBaseliningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The name of the job that performs baselining for the monitoring job.
- withBatchDescribeModelPackageErrorMap(Map<String, BatchDescribeModelPackageError>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing
the model package.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Specifies the number of records to include in a mini-batch for an HTTP inference request.
- withBatchStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- withBatchStrategy(BatchStrategy) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A string that determines the number of records included in a single mini-batch.
- withBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
Input object for the batch transform job.
- withBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Input object for the batch transform job.
- withBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
Input object for the batch transform job.
- withBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
Input object for the batch transform job.
- withBatchTransformInput(BatchTransformInput) - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
Input object for the batch transform job.
- withBestCandidate(AutoMLCandidate) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest
InferenceLatency for
an experiment.
- withBestCandidate(AutoMLCandidate) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Information about the candidate produced by an AutoML training job V2, including its status, steps, and other
properties.
- withBestObjectiveNotImproving(BestObjectiveNotImproving) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to stop your hyperparameter tuning job if model performance fails to improve as evaluated against an
objective function.
- withBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withBias(DriftCheckBias) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
- withBias(Bias) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure bais in a model.
- withBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The billable time in seconds.
- withBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The billable time in seconds.
- withBlockedReason(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
The justification for why the OfflineStoreStatus is Blocked (if applicable).
- withBlueGreenUpdatePolicy(BlueGreenUpdatePolicy) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Update policy for a blue/green deployment.
- withBranch(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The default branch for the Git repository.
- withBucket(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Name of the S3 bucket.
- withCacheHitResult(CacheHitResult) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
If this pipeline execution step was cached, details on the cache hit.
- withCalculatedBaselineConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- withCalculatedBaselineConstraints(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline constraints file.
- withCalculatedBaselineStatistics(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of the newly calculated baseline statistics file.
- withCallback(CallbackStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output
parameters.
- withCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The pipeline generated token from the Amazon SQS queue.
- withCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
The pipeline generated token from the Amazon SQS queue.
- withCallbackToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
The pipeline generated token from the Amazon SQS queue.
- withCanarySize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for the first step to turn on traffic on the new endpoint fleet.
- withCandidateArtifactLocations(CandidateArtifactLocations) - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
- withCandidateDefinitionNotebookLocation(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- withCandidateGenerationConfig(AutoMLCandidateGenerationConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for generating a candidate for an AutoML job (optional).
- withCandidateGenerationConfig(CandidateGenerationConfig) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The configuration information of how model candidates are generated.
- withCandidateMetrics(MetricDatum...) - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
Information about the candidate metrics for an AutoML job.
- withCandidateMetrics(Collection<MetricDatum>) - Method in class com.amazonaws.services.sagemaker.model.CandidateProperties
-
Information about the candidate metrics for an AutoML job.
- withCandidateName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The name of the candidate.
- withCandidateNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by candidate name.
- withCandidateProperties(CandidateProperties) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The properties of an AutoML candidate job.
- withCandidates(AutoMLCandidate...) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
Summaries about the AutoMLCandidates.
- withCandidates(Collection<AutoMLCandidate>) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
Summaries about the AutoMLCandidates.
- withCandidateStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The candidate's status.
- withCandidateStatus(CandidateStatus) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The candidate's status.
- withCandidateStepArn(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The ARN for the candidate's step.
- withCandidateStepName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
The name for the candidate's step.
- withCandidateSteps(AutoMLCandidateStep...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the candidate's steps.
- withCandidateSteps(Collection<AutoMLCandidateStep>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the candidate's steps.
- withCandidateStepType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
Whether the candidate is at the transform, training, or processing step.
- withCandidateStepType(CandidateStepType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateStep
-
Whether the candidate is at the transform, training, or processing step.
- withCanvasAppSettings(CanvasAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Canvas app settings.
- withCaptureContentTypeHeader(CaptureContentTypeHeader) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Configuration specifying how to treat different headers.
- withCaptureMode(String) - Method in class com.amazonaws.services.sagemaker.model.CaptureOption
-
Specify the boundary of data to capture.
- withCaptureMode(CaptureMode) - Method in class com.amazonaws.services.sagemaker.model.CaptureOption
-
Specify the boundary of data to capture.
- withCaptureOptions(CaptureOption...) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Specifies data Model Monitor will capture.
- withCaptureOptions(Collection<CaptureOption>) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Specifies data Model Monitor will capture.
- withCaptureStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is currently functional.
- withCaptureStatus(CaptureStatus) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is currently functional.
- withCatalog(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withCatalog(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table catalog.
- withCategoricalParameterRanges(CategoricalParameter...) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameterRanges
-
Specified a list of parameters for each category.
- withCategoricalParameterRanges(Collection<CategoricalParameter>) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameterRanges
-
Specified a list of parameters for each category.
- withCategoricalParameterRanges(CategoricalParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter
tuning job searches.
- withCategoricalParameterRanges(Collection<CategoricalParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter
tuning job searches.
- withCategoricalParameterRangeSpecification(CategoricalParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical
hyperparameter.
- withCents(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The fractional portion, in cents, of the amount.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether to certify the model package for listing on Amazon Web Services Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Whether the model package is certified for listing on Amazon Web Services Marketplace.
- withCertifyForMarketplace(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace.
- withChannelName(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The name of the channel.
- withChannelType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The channel type (optional) is an enum string.
- withChannelType(AutoMLChannelType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The channel type (optional) is an enum string.
- withChannelType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The type of channel.
- withChannelType(AutoMLChannelType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The type of channel.
- withCheckJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.
- withCheckJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
- withCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Contains information about the output location for managed spot training checkpoint data.
- withCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- withCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withCheckpointConfig(CheckpointConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- withCheckType(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The type of the Clarify Check step
- withCheckType(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The type of the Quality check step.
- withCidrs(String...) - Method in class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
- withCidrs(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.SourceIpConfig
-
- withClarifyCheck(ClarifyCheckStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
Container for the metadata for a Clarify check step.
- withClarifyExplainerConfig(ClarifyExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.ExplainerConfig
-
A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify
explainer.
- withClientConfig(AsyncInferenceClientConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous
inference.
- withClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
The client ID for your Amazon Cognito user pool.
- withClientId(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for an application client.
- withClientId(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client ID used to configure your private workforce.
- withClientId(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP client ID used to configure your private workforce.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientRequestToken(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation.
- withClientSecret(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP client secret used to configure your private workforce.
- withClientToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
A unique ID.
- withClientToken(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A unique token that guarantees that the call to this API is idempotent.
- withClusterConfig(MonitoringClusterConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringResources
-
The configuration for the cluster resources used to run the processing job.
- withClusterConfig(ProcessingClusterConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingResources
-
The configuration for the resources in a cluster used to run the processing job.
- withClusterId(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster.
- withClusterId(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withClusterRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
- withCode(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A unique identifier for a specific class of errors.
- withCodeRepositories(CodeRepository...) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer
application.
- withCodeRepositories(Collection<CodeRepository>) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer
application.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The Amazon Resource Name (ARN) of the Git repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the new repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The Amazon Resource Name (ARN) of the Git repository.
- withCodeRepositoryArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryResult
-
The ARN of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteCodeRepositoryRequest
-
The name of the Git repository to delete.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryRequest
-
The name of the Git repository to describe.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The name of the Git repository.
- withCodeRepositoryName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The name of the Git repository to update.
- withCodeRepositorySummaryList(CodeRepositorySummary...) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- withCodeRepositorySummaryList(Collection<CodeRepositorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
Gets a list of summaries of the Git repositories.
- withCognitoConfig(CognitoConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure an Amazon Cognito private workforce.
- withCognitoConfig(CognitoConfig) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an Amazon Cognito workforce.
- withCognitoMemberDefinition(CognitoMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
The Amazon Cognito user group that is part of the work team.
- withCollectionConfigurations(CollectionConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for Amazon SageMaker Debugger tensor collections.
- withCollectionConfigurations(Collection<CollectionConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for Amazon SageMaker Debugger tensor collections.
- withCollectionName(String) - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
The name of the tensor collection.
- withCollectionParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CollectionConfiguration
-
Parameter values for the tensor collection.
- withCommitId(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The commit ID.
- withCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job completed.
- withCompilationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job on a compilation job instance ended.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The Amazon Resource Name (ARN) of the model compilation job.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobResult
-
If the action is successful, the service sends back an HTTP 200 response.
- withCompilationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The name of the model compilation job that you want a summary for.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A name for the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobRequest
-
The name of the model compilation job that you want information about.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The name of the model compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the SageMaker Neo compilation job.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The name of the compilation job used to create the recommended model artifacts.
- withCompilationJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopCompilationJobRequest
-
The name of the model compilation job to stop.
- withCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- withCompilationJobStatus(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The status of the model compilation job.
- withCompilationJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- withCompilationJobStatus(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The status of the model compilation job.
- withCompilationJobSummaries(CompilationJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- withCompilationJobSummaries(Collection<CompilationJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
- withCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job started.
- withCompilationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time when the model compilation job started the CompilationJob instances.
- withCompilationTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after the compilation job has completed.
- withCompilationTargetDevice(TargetDevice) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of device that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformAccelerator(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of accelerator that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformAccelerator(TargetPlatformAccelerator) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of accelerator that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformArch(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of architecture that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformArch(TargetPlatformArch) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of architecture that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformOs(String) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of OS that the model will run on after the compilation job has completed.
- withCompilationTargetPlatformOs(TargetPlatformOs) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The type of OS that the model will run on after the compilation job has completed.
- withCompiledOutputConfig(RecommendationJobCompiledOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
Provides information about the output configuration for the compiled model.
- withCompilerOptions(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Specifies additional parameters for compiler options in JSON format.
- withCompleted(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of completed training jobs launched by the hyperparameter tuning job.
- withCompleteOnConvergence(String) - Method in class com.amazonaws.services.sagemaker.model.ConvergenceDetected
-
A flag to stop a tuning job once AMT has detected that the job has converged.
- withCompleteOnConvergence(CompleteOnConvergence) - Method in class com.amazonaws.services.sagemaker.model.ConvergenceDetected
-
A flag to stop a tuning job once AMT has detected that the job has converged.
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.AutoMLResolvedAttributes
-
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.ImageClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
How long a job is allowed to run, or how many candidates a job is allowed to generate.
- withCompletionCriteria(AutoMLJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
- withCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which the inference experiment was completed.
- withCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job completed.
- withCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was completed.
- withCompletionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job completed.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
You can use Gzip or None.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
You can use Gzip or None.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The allowed compression types depend on the input format and problem type.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The allowed compression types depend on the input format and problem type.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
If training data is compressed, the compression type.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The model output compression type.
- withCompressionType(OutputCompressionType) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The model output compression type.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies how the ML model data is prepared.
- withCompressionType(ModelCompressionType) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies how the ML model data is prepared.
- withCompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- withCompressionType(CompressionType) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
If your transform data is compressed, specify the compression type.
- withCondition(ConditionStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The outcome of the condition evaluation that was run by this step execution.
- withConfigFile(FileSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The bias config file for a model.
- withConfigFile(FileSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The explainability config file for the model.
- withConfigUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
JSON formatted S3 file that defines bias parameters.
- withConfigUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
JSON formatted S3 file that defines explainability parameters.
- withConnectedDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of devices connected with a heartbeat.
- withConnectedDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and have a heart beat.
- withConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckExplainability
-
The drift check explainability constraints.
- withConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality constraints.
- withConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality constraints.
- withConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality constraints for a model.
- withConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality constraints.
- withConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- withConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasBaselineConfig
-
- withConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityBaselineConfig
-
- withConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityBaselineConfig
-
- withConstraintsResource(MonitoringConstraintsResource) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
- withConsumedResources(HyperParameterTuningJobConsumedResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withConsumedResources(HyperParameterTuningJobConsumedResources) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The total amount of resources consumed by a hyperparameter tuning job.
- withContainerArguments(String...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The arguments for a container used to run a training job.
- withContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The arguments for a container used to run a training job.
- withContainerArguments(String...) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The arguments for a container used to run a processing job.
- withContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The arguments for a container used to run a processing job.
- withContainerArguments(String...) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The arguments to send to the container that the monitoring job runs.
- withContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The arguments to send to the container that the monitoring job runs.
- withContainerArguments(String...) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- withContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- withContainerArguments(String...) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- withContainerArguments(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An array of arguments for the container used to run the monitoring job.
- withContainerConfig(RecommendationJobContainerConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies mandatory fields for running an Inference Recommender job.
- withContainerEntrypoint(String...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- withContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- withContainerEntrypoint(String...) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The entrypoint for a container used to run a processing job.
- withContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The entrypoint for a container used to run a processing job.
- withContainerEntrypoint(String...) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The entrypoint for a container used to run a monitoring job.
- withContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The entrypoint for a container used to run a monitoring job.
- withContainerEntrypoint(String...) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Specifies the entrypoint for a container that the monitoring job runs.
- withContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Specifies the entrypoint for a container that the monitoring job runs.
- withContainerEntrypoint(String...) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
Specifies the entrypoint for a container used to run the monitoring job.
- withContainerEntrypoint(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
Specifies the entrypoint for a container used to run the monitoring job.
- withContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
This parameter is ignored for models that contain only a PrimaryContainer.
- withContainerHostname(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The DNS host name for the Docker container.
- withContainerImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The registry path of the container image that contains this image version.
- withContainers(ModelPackageContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContainers(ContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- withContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies the containers in the inference pipeline.
- withContainers(ContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- withContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The containers in the inference pipeline.
- withContainers(ModelPackageContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContainers(Collection<ModelPackageContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The Amazon ECR registry path of the Docker image that contains the inference code.
- withContainers(ContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The containers in the inference pipeline.
- withContainers(Collection<ContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The containers in the inference pipeline.
- withContainerStartupHealthCheckTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The content of the model card.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The content of the model card.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The content of the model card.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleHook
-
A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplate
-
The content of the Liquid template for the worker user interface.
- withContent(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The updated model card content.
- withContentClassifiers(String...) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentClassifiers(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentClassifiers(ContentClassifier...) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataAttributes
-
Declares that your content is free of personally identifiable information or adult content.
- withContentColumn(String) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the sentences to be classified.
- withContentDigest(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The digest of the file source.
- withContentDigest(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The hash key used for the metrics source.
- withContentSha256(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The SHA-256 digest of the contents of the template.
- withContentTemplate(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A template string used to format a JSON record into an acceptable model container input.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The content type of the data from the input source.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The content type of the data from the input source.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The MIME type of the data.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The type of content stored in the file source.
- withContentType(CaptureContentTypeHeader) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The metric source content type.
- withContentType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The multipurpose internet mail extension (MIME) type of the data.
- withContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The Amazon Resource Name (ARN) of the context.
- withContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextResult
-
The Amazon Resource Name (ARN) of the context.
- withContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteContextResult
-
The Amazon Resource Name (ARN) of the context.
- withContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the context.
- withContextArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextResult
-
The Amazon Resource Name (ARN) of the context.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The name of the context.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The name of the context.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteContextRequest
-
The name of the context to delete.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextRequest
-
The name of the context to describe.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The name of the context.
- withContextName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The name of the context to update.
- withContextSummaries(ContextSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A list of contexts and their properties.
- withContextSummaries(Collection<ContextSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A list of contexts and their properties.
- withContextType(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The type of the context.
- withContextType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The context type.
- withContextType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The type of the context.
- withContextType(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts of the specified type.
- withContinuousParameterRanges(ContinuousParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter
tuning job searches.
- withContinuousParameterRanges(Collection<ContinuousParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter
tuning job searches.
- withContinuousParameterRangeSpecification(ContinuousParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous
hyperparameter.
- withConvergenceDetected(ConvergenceDetected) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
A flag to top your hyperparameter tuning job if automatic model tuning (AMT) has detected that your model has
converged as evaluated against your objective function.
- withConvergenceDetectedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement
over time based on criteria developed over a wide range of diverse benchmarking tests.
- withCoreDumpConfig(ProductionVariantCoreDumpConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Specifies configuration for a core dump from the model container when the process crashes.
- withCostPerHour(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per hour for the instance.
- withCostPerInference(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
Defines the cost per inference for the instance .
- withCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The number of samples used to generate the metric.
- withCpuUtilization(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected CPU utilization at maximum invocations per minute for the instance.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created after a certain point in time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created after a specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created after a specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created after the specified time.
- withCreatedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the create date.
- withCreatedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was created.
- withCreatedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was created.
- withCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The date that the workforce is created.
- withCreateDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was created (timestamp).
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions created on or before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts created on or before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations created on or before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts created on or before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
A filter that returns only experiments created before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
A timestamp to filter against lineage groups created before a certain point in time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
A filter that returns the pipeline executions that were created before a specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
A filter that returns the pipelines that were created before a specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components created before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials created before the specified time.
- withCreatedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by created date.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who created the experiment.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who created the trial component.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who created the trial.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
Who created the experiment.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Project
-
Who created the project.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who created the trial.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Who created the trial component.
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- withCreatedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who created the trial component.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSummary
-
A timestamp that shows when the algorithm was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
When the association was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The creation time of the mortgage package summary.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
A timestamp specifying when the algorithm was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the creation time of the AutoML job.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the creation time of the AutoML job V2.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the model compilation job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The time that the data quality monitoring job definition was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the packaging job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
A timestamp that shows when the endpoint configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when SageMaker created the FeatureGroup.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the feature was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The timestamp when the flow definition was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The date and time that hub content was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The timestamp when the human task user interface was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job started.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you created the inference experiment.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The creation time of lineage group.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The time at which the model bias job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The time at which the model explainability job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The time that the model group was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A timestamp specifying when the model package was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The time at which the model quality job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A timestamp that shows when the model was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The time when the pipeline was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The time when the project was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The creation time of the Studio Lifecycle Configuration.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
A timestamp that shows when the transform Job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The time that the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
A timestamp that shows when the endpoint configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The time a FeatureGroup was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
A timestamp indicating the time of creation time of the FeatureGroup.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The timestamp when SageMaker created the flow definition.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The date and time that the hub content was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
A timestamp when SageMaker created the human task user interface.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp at which the inference experiment was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The date and time that the labeling job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was created (timestamp).
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The creation time of the lineage group summary.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A timestamp that indicates when the model was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The date and time that the model card version was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
A timestamp that indicates when the endpoint was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The time that the model package was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The time that the model group was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The time that the model group was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A timestamp that shows when the model package was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
A timestamp that indicates when the model was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
A timestamp that indicates when the first alert transition occurred in an alert history.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time at which the monitoring job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The time that the monitoring job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The time that the monitoring schedule was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The creation time of the monitoring schedule.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The creation time of the pipeline.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The creation time of the pipeline execution.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The creation time of the pipeline.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp specifying when the project was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The time that the project was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The time the ResourceCatalog was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The creation time.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The creation time of the Studio Lifecycle Configuration.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A timestamp that shows when the transform Job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
A timestamp that shows when the transform Job was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
When the trial was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
When the component was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was created.
- withCreationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The creation time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where packaging job was created after specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created after this time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created after specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations with a creation time greater than or equal to the specified
time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with a creation time greater than or equal to the specified time
(timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created after a specific date and time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions with a creation time greater than or equal to the specified
timestamp.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces with a creation time greater than or equal to the specified
timestamp.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created after this timestamp.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created after the time specified.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created after a specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created after a specific date and time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or after the specified time.
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created after the specified time (timestamp).
- withCreationTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created after the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A filter that returns only algorithms created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs created on or before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that returns only data quality monitoring job definitions created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter fleets where the edge packaging job was created before specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans created before this time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was created before specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A filter that returns only endpoint configurations created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
Use this parameter to search for FeatureGroupss created before a specific date and time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A filter that returns only flow definitions that were created before the specified timestamp.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content that was created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Only list hub content versions that were created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A filter that returns only human task user interfaces that were created before the specified timestamp.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images created on or before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions created on or before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were created before this timestamp.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
A filter that returns only model bias jobs created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs that were created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards that were created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions that were created before the time specified.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
A filter that returns only model explainability jobs created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A filter that returns only model groups created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model packages created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions created before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A filter that returns only models created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that returns only alerts created on or before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs created after the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects that were created before a specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
Use this parameter to search for ResourceCatalogs created before a specific date and time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations created on or before the specified time.
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs created before the specified time (timestamp).
- withCreationTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs created before the specified time.
- withCrossAccountFilterOption(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A cross account filter option.
- withCrossAccountFilterOption(CrossAccountFilterOption) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A cross account filter option.
- withCrossAccountModelRegisterRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
The Amazon Resource Name (ARN) of the SageMaker model registry account.
- withCsv(MonitoringCsvDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The CSV dataset used in the monitoring job.
- withCsvContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as CSV and capture accordingly.
- withCsvContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as CSV and capture accordingly.
- withCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances associated with the variant.
- withCurrentInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances associated with the variant.
- withCurrentSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The percentage of requests being captured by your Endpoint.
- withCurrentServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration for the endpoint.
- withCurrentServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration for the endpoint.
- withCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The weight associated with the variant.
- withCurrentWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The weight associated with the variant.
- withCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The metadata properties associated with the model package versions.
- withCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The metadata properties associated with the model package versions.
- withCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The metadata properties for the model package.
- withCustomerMetadataProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions.
- withCustomerMetadataPropertiesToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions to remove.
- withCustomerMetadataPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The metadata properties associated with the model package versions to remove.
- withCustomImages(CustomImage...) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- withCustomImages(Collection<CustomImage>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- withCustomImages(CustomImage...) - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
A list of custom SageMaker images that are configured to run as a RSession app.
- withCustomImages(Collection<CustomImage>) - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
A list of custom SageMaker images that are configured to run as a RSession app.
- withCustomized(CustomizedMetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a customized metric.
- withDataAttributes(LabelingJobDataAttributes) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
Attributes of the data specified by the customer.
- withDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table database.
- withDatabase(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withDataCaptureConfig(DataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
- withDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configuration to control how SageMaker captures inference data.
- withDataCaptureConfig(DataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
- withDataCaptureConfig(DataCaptureConfigSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Configuration to control how SageMaker captures inference data.
- withDataCaptureConfig(DataCaptureConfigSummary) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
- withDataCaptureConfig(BatchDataCaptureConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withDataCapturedDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The Amazon S3 location being used to capture the data.
- withDataCatalogConfig(DataCatalogConfig) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
- withDataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
- withDataDistributionType(DataDistributionType) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
- withDataExplorationNotebookLocation(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobArtifacts
-
The URL of the notebook location.
- withDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- withDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.ModelInput
-
The input configuration object for the model.
- withDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.
- withDatapointsToAlert(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- withDatapointsToAlert(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
Within EvaluationPeriod, how many execution failures will raise an alert.
- withDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The data structure used to specify the data to be used for inference in a batch transform job and to associate
the data that is relevant to the prediction results in the output.
- withDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- withDataProcessing(DataProcessing) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withDataQualityAppSpecification(DataQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies the container that runs the monitoring job.
- withDataQualityAppSpecification(DataQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
Information about the container that runs the data quality monitoring job.
- withDataQualityBaselineConfig(DataQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Configures the constraints and baselines for the monitoring job.
- withDataQualityBaselineConfig(DataQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The constraints and baselines for the data quality monitoring job definition.
- withDataQualityJobInput(DataQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
A list of inputs for the monitoring job.
- withDataQualityJobInput(DataQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The list of inputs for the data quality monitoring job.
- withDataQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- withDataQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- withDatasetDefinition(DatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for a Dataset Definition input.
- withDatasetFormat(MonitoringDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The dataset format for your batch transform job.
- withDataSource(AutoMLDataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The data source for an AutoML channel.
- withDataSource(AutoMLDataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobChannel
-
The data source for an AutoML channel (Required).
- withDataSource(DataSource) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
The location of the channel data.
- withDataSource(LabelingJobDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobInputConfig
-
The location of the input data.
- withDataSource(TransformDataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
Describes the location of the channel data, which is, the S3 location of the input data that the model can
consume.
- withDataSourceName(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The name of the data source that you're connecting to.
- withDataSourceName(DataSourceName) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The name of the data source that you're connecting to.
- withDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The configuration for splitting the input training dataset.
- withDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
This structure specifies how to split the data into train and validation datasets.
- withDataSplitConfig(AutoMLDataSplitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the configuration settings of how the data are split into train and validation datasets.
- withDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- withDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon S3 location and configuration for storing inference request and response data.
- withDataStorageConfig(InferenceExperimentDataStorageConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The Amazon S3 location and configuration for storing inference request and response data.
- withDbUser(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- withDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- withDebugHookConfig(DebugHookConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- withDebugRuleConfigurations(DebugRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- withDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- withDebugRuleConfigurations(DebugRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- withDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
- withDebugRuleConfigurations(DebugRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the debug rule configuration.
- withDebugRuleConfigurations(Collection<DebugRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the debug rule configuration.
- withDebugRuleEvaluationStatuses(DebugRuleEvaluationStatus...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
- withDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
- withDebugRuleEvaluationStatuses(DebugRuleEvaluationStatus...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the evaluation status of the rules for the training job.
- withDebugRuleEvaluationStatuses(Collection<DebugRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the evaluation status of the rules for the training job.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
A Git repository to associate with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Git repository associated with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Git repository associated with the notebook instance as its default code repository.
- withDefaultCodeRepository(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Git repository to associate with the notebook instance as its default code repository.
- withDefaultCodeRepositoryContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name or URL of a Git repository associated with this notebook instance.
- withDefaultGid(Integer) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX group ID (GID).
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
JupyterServer app.
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the
KernelGateway app.
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RSessionAppSettings
-
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
- withDefaultResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardAppSettings
-
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- withDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings used to create a space.
- withDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The default settings used to create a space.
- withDefaultSpaceSettings(DefaultSpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The default settings used to create a space within the Domain.
- withDefaultUid(Integer) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The default POSIX user ID (UID).
- withDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The default settings to use to create a user profile when UserSettings isn't specified in the call
to the CreateUserProfile API.
- withDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given
UserProfile.
- withDefaultUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of settings.
- withDefaultValue(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The default value for this hyperparameter.
- withDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The job definition name.
- withDeleteProperties(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
A list of properties to delete.
- withDeleteProperties(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
A list of properties to delete.
- withDependencyCopyPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency copy path.
- withDependencyOriginPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentDependency
-
The hub content dependency origin path.
- withDeployedImages(DeployedImage...) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDeployedImages(DeployedImage...) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDeployedImages(Collection<DeployedImage>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the
inference images deployed on instances of this ProductionVariant.
- withDeployedStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the deployed stage.
- withDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
- withDeploymentConfig(EdgeDeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the deployment details.
- withDeploymentConfig(EdgeDeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the deployment details.
- withDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
- withDeploymentRecommendation(DeploymentRecommendation) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A set of recommended deployment configurations for the model.
- withDeploymentRecommendation(DeploymentRecommendation) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A set of recommended deployment configurations for the model.
- withDeploymentStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The time when the deployment on the device started.
- withDeploymentStatus(EdgeDeploymentStatus) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
General status of the current state.
- withDerivedDataInputConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DerivedInformation
-
The data input configuration that SageMaker Neo automatically derived for the model.
- withDerivedInformation(DerivedInformation) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information that SageMaker Neo automatically derived about the model.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A description of the additional Inference specification
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
A brief description of the channel.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The description of the action.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The description of the context.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
A description of the fleet.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The description of the experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A free-form description of a FeatureGroup.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The description of the image.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
A description for the inference experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A description of the work team.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The description of the action.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The description of the context.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
A description of the fleet.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
A description of the device.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The description of the experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A free form description of the feature group.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The description you added to describe the feature.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The description of the image.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The description of the inference experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The description of the lineage group.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
Description of the device.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The description of the device.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
A description of the device.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The description of the experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A free form description of a FeatureGroup.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
An optional description that you specify to better describe the feature.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Description of the fleet.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
A brief description of the hyperparameter.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The description of the image.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The description of the inference experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
A free form description of the ResourceCatalog.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new description for the action.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new description for the context.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Description of the fleet.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The description of the experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A description that you can write to better describe the feature.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new description for the image.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The description of the inference experiment.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
An updated description for the work team.
- withDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A description of the work team.
- withDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's capacity.
- withDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The number of instances requested in this deployment, as specified in the endpoint configuration for the
endpoint.
- withDesiredInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
- withDesiredModelVariants(ModelVariantConfig...) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withDesiredModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withDesiredServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The serverless configuration requested for this deployment, as specified in the endpoint configuration for the
endpoint.
- withDesiredServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The serverless configuration requested for the endpoint update.
- withDesiredState(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The desired state of the experiment after stopping.
- withDesiredState(InferenceExperimentStopDesiredState) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The desired state of the experiment after stopping.
- withDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The variant's weight.
- withDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The requested weight for the variant in this deployment, as specified in the endpoint configuration for the
endpoint.
- withDesiredWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
- withDesiredWeightsAndCapacities(DesiredWeightAndCapacity...) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- withDesiredWeightsAndCapacities(Collection<DesiredWeightAndCapacity>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
An object that provides new capacity and weight values for a variant.
- withDestination(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon S3 bucket where the inference request and response data is stored.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The Amazon Resource Name (ARN) of the destination.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The Amazon Resource Name (ARN) of the destination.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The Amazon Resource Name (ARN) of the destination.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
- withDestinationArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
- withDestinationName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the destination.
- withDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon S3 location being used to capture the data.
- withDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon S3 location used to capture the data.
- withDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The Amazon S3 location being used to capture the data.
- withDestinationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon S3 bucket to send the core dump to.
- withDestinationType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The destination type.
- withDestinationType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified destination type.
- withDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Resource Name (ARN) of the device.
- withDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the device.
- withDeviceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Amazon Resource Name (ARN) of the device.
- withDeviceDeploymentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The deployment status of the device.
- withDeviceDeploymentStatus(DeviceDeploymentStatus) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The deployment status of the device.
- withDeviceDeploymentStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The detailed error message for the deployoment status result.
- withDeviceDeploymentSummaries(DeviceDeploymentSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
List of summaries of devices allocated to the stage.
- withDeviceDeploymentSummaries(Collection<DeviceDeploymentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
List of summaries of devices allocated to the stage.
- withDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The The Amazon Resource Name (ARN) of the fleet.
- withDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Amazon Resource Name (ARN) of the device fleet.
- withDeviceFleetArn(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The Amazon Resource Name (ARN) of the device.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The name of the fleet that the device belongs to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The device fleet used for this edge deployment plan.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDeviceFleetRequest
-
The name of the fleet to delete.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The name of the fleet the devices belong to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetRequest
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The name of the fleet the devices belong to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The name of the fleet the device belongs to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The device fleet used for this edge deployment plan.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the fleet to which the device belongs to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Name of the device fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The name of the fleet the device belongs to.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the device fleet used for the deployment.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportRequest
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Filter for fleets containing this name in their device fleet name.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The name of the fleet.
- withDeviceFleetName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
The name of the fleet the devices belong to.
- withDeviceFleetNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with a device fleet name containing this name.
- withDeviceFleetSummaries(DeviceFleetSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
Summary of the device fleet.
- withDeviceFleetSummaries(Collection<DeviceFleetSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
Summary of the device fleet.
- withDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
The unique ID of the device.
- withDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The unique identifier of the device.
- withDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
The name of the device.
- withDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the device.
- withDeviceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The unique identifier of the device.
- withDeviceNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
A filter to select devices with names containing this name.
- withDeviceNames(String...) - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The unique IDs of the devices.
- withDeviceNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeregisterDevicesRequest
-
The unique IDs of the devices.
- withDeviceNames(String...) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
List of devices chosen to deploy.
- withDeviceNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
List of devices chosen to deploy.
- withDevices(Device...) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
A list of devices to register with SageMaker Edge Manager.
- withDevices(Collection<Device>) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
A list of devices to register with SageMaker Edge Manager.
- withDevices(Device...) - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
List of devices to register with Edge Manager agent.
- withDevices(Collection<Device>) - Method in class com.amazonaws.services.sagemaker.model.UpdateDevicesRequest
-
List of devices to register with Edge Manager agent.
- withDeviceSelectionConfig(DeviceSelectionConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
Configuration of the devices in the stage.
- withDeviceSelectionConfig(DeviceSelectionConfig) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
Configuration of the devices in the stage.
- withDeviceStats(DeviceStats) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of devices.
- withDeviceSubsetType(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Type of device subsets to deploy to the current stage.
- withDeviceSubsetType(DeviceSubsetType) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Type of device subsets to deploy to the current stage.
- withDeviceSummaries(DeviceSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
Summary of devices.
- withDeviceSummaries(Collection<DeviceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
Summary of devices.
- withDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(DirectInternetAccess) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Sets whether SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether SageMaker provides internet access to the notebook instance.
- withDirectInternetAccess(DirectInternetAccess) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Describes whether SageMaker provides internet access to the notebook instance.
- withDirection(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Associations between lineage entities have a direction.
- withDirection(Direction) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Associations between lineage entities have a direction.
- withDirectoryPath(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The full path to the directory to associate with the channel.
- withDisableGlueTableCreation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring
an OfflineStore.
- withDisableProfiler(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality.
- withDisableProfiler(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to
True.
- withDisassociateAcceleratorTypes(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of the Elastic Inference (EI) instance types to remove from this notebook instance.
- withDisassociateAdditionalCodeRepositories(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
A list of names or URLs of the default Git repositories to remove from this notebook instance.
- withDisassociateDefaultCodeRepository(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name or URL of the default Git repository to remove from this notebook instance.
- withDisassociateLifecycleConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Set to true to remove the notebook instance lifecycle configuration currently associated with the
notebook instance.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The display name of the image.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The display name of the lineage group.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the component as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The display name of the kernel.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The display name of the lineage group summary.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the component as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the component as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new display name for the image.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component as displayed.
- withDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial as displayed.
- withDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The document schema version for the hub content.
- withDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content document schema.
- withDocumentSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content schema to import.
- withDollars(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
The whole number of dollars in the amount.
- withDomain(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning domain of your model package and its components.
- withDomain(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning domain of the model package you specified.
- withDomain(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning domain of the model.
- withDomain(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning domain of your model package and its components.
- withDomain(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning domain of the model and its components.
- withDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The Amazon Resource Name (ARN) of the created domain.
- withDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's Amazon Resource Name (ARN).
- withDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's Amazon Resource Name (ARN).
- withDomainArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainResult
-
The Amazon Resource Name (ARN) of the domain.
- withDomainExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
The ARN of the execution role for the RStudioServerPro Domain-level app.
- withDomainExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
The execution role for the RStudioServerPro Domain-level app.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the domain that contains the profile.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
The ID of the domain to be updated.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The ID of the associated Domain.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The domain ID.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The domain associated with the user.
- withDomainId(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The domain ID.
- withDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search for the domain ID.
- withDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter to search for the Domain ID.
- withDomainIdEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- withDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A name for the domain.
- withDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain name.
- withDomainName(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain name.
- withDomains(DomainDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
The list of domains.
- withDomains(Collection<DomainDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
The list of domains.
- withDomainSettings(DomainSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
A collection of Domain settings.
- withDomainSettings(DomainSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
A collection of Domain settings.
- withDomainSettingsForUpdate(DomainSettingsForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateDomainRequest
-
A collection of DomainSettings configuration values to update.
- withDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- withDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- withDriftCheckBaselines(DriftCheckBaselines) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Represents the drift check baselines that can be used when the model monitor is set using the model package.
- withDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how long a traffic phase should be.
- withDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Defines how long each traffic step should be.
- withDynamicScalingConfiguration(DynamicScalingConfiguration) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with the recommended values for you to specify when creating an autoscaling policy.
- withEdgeDeploymentFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices that failed the deployment.
- withEdgeDeploymentFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices that failed the deployment.
- withEdgeDeploymentFailedInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices that failed the deployment in current stage.
- withEdgeDeploymentPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices yet to pick up deployment, or in progress.
- withEdgeDeploymentPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices yet to pick up the deployment, or in progress.
- withEdgeDeploymentPendingInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices yet to pick up the deployment in current stage, or in progress.
- withEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanResult
-
The ARN of the edge deployment plan.
- withEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The ARN of edge deployment plan.
- withEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The ARN of the edge deployment plan.
- withEdgeDeploymentPlanArn(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The ARN of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentPlanRequest
-
The name of the edge deployment plan to delete.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the edge deployment plan from which the stage will be deleted.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The name of the deployment plan to describe.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the edge deployment plan.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the edge deployment plan to start.
- withEdgeDeploymentPlanName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the edge deployment plan to stop.
- withEdgeDeploymentPlanSummaries(EdgeDeploymentPlanSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
List of summaries of edge deployment plans.
- withEdgeDeploymentPlanSummaries(Collection<EdgeDeploymentPlanSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
List of summaries of edge deployment plans.
- withEdgeDeploymentStageStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The time when the deployment API started.
- withEdgeDeploymentStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
A detailed message about deployment status in current stage.
- withEdgeDeploymentSuccess(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The number of edge devices with the successful deployment.
- withEdgeDeploymentSuccess(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The number of edge devices with the successful deployment.
- withEdgeDeploymentSuccessInStage(Integer) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The number of edge devices with the successful deployment in the current stage.
- withEdgePackagingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of the edge packaging job.
- withEdgePackagingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The Amazon Resource Name (ARN) of the edge packaging job.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the edge packaging job.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobRequest
-
The name of the edge packaging job.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the edge packaging job.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The edge packaging job associated with this deployment.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the edge packaging job.
- withEdgePackagingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgePackagingJobRequest
-
The name of the edge packaging job.
- withEdgePackagingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The current status of the packaging job.
- withEdgePackagingJobStatus(EdgePackagingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The current status of the packaging job.
- withEdgePackagingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The status of the edge packaging job.
- withEdgePackagingJobStatus(EdgePackagingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The status of the edge packaging job.
- withEdgePackagingJobStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
Returns a message describing the job status and error messages.
- withEdgePackagingJobSummaries(EdgePackagingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Summaries of edge packaging jobs.
- withEdgePackagingJobSummaries(Collection<EdgePackagingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Summaries of edge packaging jobs.
- withEdges(Edge...) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of edges that connect vertices in the response.
- withEdges(Collection<Edge>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of edges that connect vertices in the response.
- withEMR(EMRStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of an Amazon EMR step execution.
- withEnableCapture(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
Whether data capture should be enabled or disabled (defaults to enabled).
- withEnableCapture(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
Whether data capture is enabled or disabled.
- withEnabled(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardIndicatorAction
-
Indicates whether the alert action is turned on.
- withEnableExplanations(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
A JMESPath boolean expression used to filter which records to explain.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
Whether to use traffic encryption between the container layers.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to encrypt all communications between the instances used for the monitoring jobs.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to encrypt all communications between distributed processing jobs.
- withEnableInterContainerTrafficEncryption(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
To encrypt all communications between ML compute instances in distributed training, choose True.
- withEnableIotRoleAlias(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- withEnableIotRoleAlias(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Whether to create an Amazon Web Services IoT Role Alias during device fleet creation.
- withEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
To train models using managed spot training, choose True.
- withEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- withEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
A Boolean indicating whether managed spot training is enabled (True) or not (False).
- withEnableManagedSpotTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of
on-demand instances.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Isolates the model container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Isolates the training container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
If True, no inbound or outbound network calls can be made to or from the model container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster
for distributed training, choose True.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Isolates the training container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.Model
-
Isolates the model container.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- withEnableNetworkIsolation(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the TrainingJob was created with network isolation, the value is set to true.
- withEnableOnlineStore(Boolean) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Turn OnlineStore off by specifying False for the EnableOnlineStore flag.
- withEnableSageMakerMetricsTimeSeries(Boolean) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
To generate and save time-series metrics during training, set to true.
- withEnableSSMAccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production
variant behind an endpoint.
- withEndpoint(Endpoint) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointResult
-
The Amazon Resource Name (ARN) of the endpoint.
- withEndpointArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesResult
-
The Amazon Resource Name (ARN) of the updated endpoint.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The Amazon Resource Name (ARN) of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of an endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointConfigRequest
-
The name of the endpoint configuration that you want to delete.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigRequest
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Name of the SageMaker endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The name of the endpoint configuration associated with this endpoint.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The endpoint configuration associated with the endpoint.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointConfigSummary
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint configuration.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The name of the endpoint configuration used in the deployment.
- withEndpointConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the new endpoint configuration.
- withEndpointConfigs(EndpointConfigSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- withEndpointConfigs(Collection<EndpointConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
An array of endpoint configurations.
- withEndpointConfiguration(EndpointOutputConfiguration) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the endpoint configuration parameters.
- withEndpointConfiguration(EndpointOutputConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- withEndpointConfigurations(EndpointInputConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the endpoint configuration to use for a job.
- withEndpointConfigurations(Collection<EndpointInputConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the endpoint configuration to use for a job.
- withEndpointInfo(EndpointInfo) - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
- withEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.DataQualityJobInput
-
- withEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
- withEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityJobInput
-
- withEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
- withEndpointInput(EndpointInput) - Method in class com.amazonaws.services.sagemaker.model.MonitoringInput
-
The endpoint for a monitoring job.
- withEndpointMetadata(EndpointMetadata) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The metadata of the endpoint on which the inference experiment ran.
- withEndpointMetrics(InferenceMetrics) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services
account.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEndpointRequest
-
The name of the endpoint that you want to delete.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointRequest
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The name of the endpoint for the monitoring job.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInfo
-
The name of a customer's endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
An endpoint in customer's account which has enabled DataCaptureConfig enabled.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the endpoint made during a recommendation job.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The name of the endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of an endpoint benchmarked during a previously completed inference recommendation job.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of an endpoint benchmarked during a previously completed Inference Recommender job.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A filter that lists the data quality job definitions associated with the specified endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Name of the endpoint to monitor for model bias.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Name of the endpoint to monitor for model explainability.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A filter that returns only model quality monitoring job definitions that are associated with the specified
endpoint.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific endpoint to fetch jobs for.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Name of a specific endpoint to fetch schedules for.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint name.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The endpoint which is monitored.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployConfig
-
Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not
generated automatically.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDeployResult
-
The name of the endpoint to which the model has been deployed.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the endpoint used to run the monitoring job.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the endpoint that the job monitors.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The endpoint that hosts the model being monitored.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the endpoint using the monitoring schedule.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
The name of the endpoint whose configuration you want to update.
- withEndpointName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointWeightsAndCapacitiesRequest
-
The name of an existing SageMaker endpoint.
- withEndpointPerformances(EndpointPerformance...) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The performance results from running an Inference Recommender job on an existing endpoint.
- withEndpointPerformances(Collection<EndpointPerformance>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The performance results from running an Inference Recommender job on an existing endpoint.
- withEndpoints(EndpointSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- withEndpoints(Collection<EndpointSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
An array or endpoint objects.
- withEndpoints(ModelDashboardEndpoint...) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The endpoints that host a model.
- withEndpoints(Collection<ModelDashboardEndpoint>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The endpoints that host a model.
- withEndpoints(EndpointInfo...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Existing customer endpoints on which to run an Inference Recommender job.
- withEndpoints(Collection<EndpointInfo>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Existing customer endpoints on which to run an Inference Recommender job.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The status of the endpoint.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The status of the endpoint.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
The status of the endpoint.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
The status of the endpoint.
- withEndpointStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint status.
- withEndpointStatus(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The endpoint status.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The end time.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The end time of an AutoML job.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component ended.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the end time of the AutoML job.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the end time of the AutoML job V2.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component ended.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment ended or will end.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step stopped executing.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component ended.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component ended.
- withEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component ended.
- withEndTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs subtract this time from the end time.
- withEndTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the end time.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The environment variables to set in the container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The environment variables set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
Sets the environment variables in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
Sets the environment variables in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
Sets the environment variables in the container that the monitoring job runs.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Sets the environment variables in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
Sets the environment variables in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended environment variables to set in the model container for Real-Time Inference.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The environment variables to set in the Docker container.
- withEnvironment(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The environment variables to set in the Docker container.
- withEnvironmentParameterRanges(EnvironmentParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The parameter you want to benchmark against.
- withEnvironmentParameters(EnvironmentParameter...) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
Defines the environment parameters that includes key, value types, and values.
- withEnvironmentParameters(Collection<EnvironmentParameter>) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
Defines the environment parameters that includes key, value types, and values.
- withErrorCode(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- withErrorMessage(String) - Method in class com.amazonaws.services.sagemaker.model.FailStepMetadata
-
A message that you define and then is processed and rendered by the Fail step when the error occurs.
- withErrorResponse(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageError
-
- withErrors(RenderingError...) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- withErrors(Collection<RenderingError>) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A list of one or more RenderingError objects if any were encountered while rendering the template.
- withErrorTopic(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference fails.
- withEvaluationPeriod(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The number of most recent monitoring executions to consider when evaluating alert status.
- withEvaluationPeriod(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The number of most recent monitoring executions to consider when evaluating alert status.
- withEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the feature that stores the EventTime of a Record in a
FeatureGroup.
- withEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- withEventTimeFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
- withExcludeDevicesDeployedInOtherStage(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
Toggle for excluding devices deployed in other stages.
- withExcludeRetainedVariantProperties(VariantProperty...) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When you are updating endpoint resources with
RetainAllVariantProperties, whose value is set to
true,
ExcludeRetainedVariantProperties specifies the list of type
VariantProperty to
override with the values provided by
EndpointConfig.
- withExcludeRetainedVariantProperties(Collection<VariantProperty>) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When you are updating endpoint resources with
RetainAllVariantProperties, whose value is set to
true,
ExcludeRetainedVariantProperties specifies the list of type
VariantProperty to
override with the values provided by
EndpointConfig.
- withExecutionRole(String) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The ARN of the execution role for the space.
- withExecutionRole(String) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The execution role for the user.
- withExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker
image for deployment on ML compute instances or for batch transform jobs.
- withExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- withExecutionRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
- withExecutionRoleIdentityConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- withExecutionRoleIdentityConfig(ExecutionRoleIdentityConfig) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- withExecutionRoleIdentityConfig(String) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- withExecutionRoleIdentityConfig(ExecutionRoleIdentityConfig) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The configuration for attaching a SageMaker user profile name to the execution role as a
sts:SourceIdentity key.
- withExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- withExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains metadata from the processing container when the processing job
exits.
- withExitMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
An optional string, up to one KB in size, that contains metadata from the processing container when the
processing job exits.
- withExperiment(Experiment) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of an experiment.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentResult
-
The Amazon Resource Name (ARN) of the experiment that is being deleted.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The Amazon Resource Name (ARN) of the experiment.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The Amazon Resource Name (ARN) of the experiment.
- withExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentResult
-
The Amazon Resource Name (ARN) of the experiment.
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The configuration information used to create an experiment.
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- withExperimentConfig(ExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the experiment to associate the trial with.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteExperimentRequest
-
The name of the experiment to delete.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentRequest
-
The name of the experiment to describe.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the experiment the trial is part of.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing experiment to associate with the trial component.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are part of the specified experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the experiment.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the experiment the trial is part of.
- withExperimentName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateExperimentRequest
-
The name of the experiment to update.
- withExperimentSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
- withExperimentSummaries(ExperimentSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A list of the summaries of your experiments.
- withExperimentSummaries(Collection<ExperimentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A list of the summaries of your experiments.
- withExpiresInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The number of seconds until the pre-signed URL expires.
- withExplainability(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
- withExplainability(DriftCheckExplainability) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check explainability baselines that can be used when the model monitor is set using the
model package.
- withExplainability(Explainability) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that help explain a model.
- withExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
A member of CreateEndpointConfig that enables explainers.
- withExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
The configuration parameters for an explainer.
- withExplainerConfig(ExplainerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The configuration parameters for an explainer.
- withExportArtifacts(ModelCardExportArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The exported model card artifacts.
- withFail(FailStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of a Fail step execution.
- withFailed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning
process.
- withFailedNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects that could not be labeled due to an error.
- withFailureHandlingPolicy(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentConfig
-
Toggle that determines whether to rollback to previous configuration if the current deployment fails.
- withFailureHandlingPolicy(FailureHandlingPolicy) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentConfig
-
Toggle that determines whether to rollback to previous configuration if the current deployment fails.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
if the overall status is Failed, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The failure reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The failure reason of an AutoML job.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The failure reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the failure reason for an AutoML job, when applicable.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the reason for the failure of the AutoML job V2, when applicable.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
If a model compilation job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The failure reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
If the status of the endpoint is Failed, the reason why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The reason your flow definition failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The failure reason if importing hub content failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The failure reason if importing hub content failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the tuning job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When a create, update, or delete operation fails, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When a create or delete operation fails, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
If the job fails, provides information why the job failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
If the job failed, the reason that it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The failure reason if the model export job fails.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
If status is Failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
If the execution failed, a message describing why.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The failure reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
If the training job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
If the transform job failed, FailureReason describes why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The failure reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
If the endpoint failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointMetadata
-
If the status of the endpoint is Failed, or the status is InService but update
operation fails, this provides the reason why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The reason that the FeatureGroup failed to be replicated in the OfflineStore.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The reason why the flow definition creation failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The reason that the training job failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The error that was created when a hyperparameter tuning job failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When a create, update, or delete operation fails, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When a create or delete operation fails, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
If the job fails, provides information why the job failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
If the LabelingJobStatus field is Failed, this field contains a description of the
error.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
If the update wasn't successful, indicates the reason why it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
If a monitoring job failed, provides the reason.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
if the overall status is Failed, the reason for the failure.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
Contains the reason a monitoring job failed, if it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
If the monitoring schedule failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
If the execution failed, a message describing why.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The reason why the step failed execution.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
The reason why a benchmark failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureRequest
-
A message describing why the step failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
If the training job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
If the transform job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
If the transform job failed, the reason it failed.
- withFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The reason your workforce failed.
- withFeatureAdditions(FeatureDefinition...) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group.
- withFeatureAdditions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group.
- withFeatureDefinitions(FeatureDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A list of Feature names and types.
- withFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
A list of Feature names and types.
- withFeatureDefinitions(FeatureDefinition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A list of the Features in the FeatureGroup.
- withFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A list of the Features in the FeatureGroup.
- withFeatureDefinitions(FeatureDefinition...) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A list of Features.
- withFeatureDefinitions(Collection<FeatureDefinition>) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A list of Features.
- withFeatureGroup(FeatureGroup) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the FeatureGroup.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The Amazon Resource Number (ARN) of the feature group that contains the feature.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of a FeatureGroup.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Unique identifier for the FeatureGroup.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The Amazon Resource Number (ARN) of the feature group.
- withFeatureGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupResult
-
The Amazon Resource Number (ARN) of the feature group that you're updating.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the FeatureGroup.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteFeatureGroupRequest
-
The name of the FeatureGroup you want to delete.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
he name of the FeatureGroup.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature group that you've specified.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the FeatureGroup.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The name of FeatureGroup.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of the feature group containing the feature.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingFeatureStoreOutput
-
The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
The name or Amazon Resource Name (ARN) of the feature group that you're updating.
- withFeatureGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name or Amazon Resource Name (ARN) of the feature group containing the feature that you're updating.
- withFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the feature group.
- withFeatureGroupStatus(FeatureGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the feature group.
- withFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A FeatureGroup status.
- withFeatureGroupStatus(FeatureGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A FeatureGroup status.
- withFeatureGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The status of a FeatureGroup.
- withFeatureGroupStatus(FeatureGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
The status of a FeatureGroup.
- withFeatureGroupStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A FeatureGroup status.
- withFeatureGroupStatusEquals(FeatureGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A FeatureGroup status.
- withFeatureGroupSummaries(FeatureGroupSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A summary of feature groups.
- withFeatureGroupSummaries(Collection<FeatureGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A summary of feature groups.
- withFeatureHeaders(String...) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The names of the features.
- withFeatureHeaders(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The names of the features.
- withFeatureMetadata(FeatureMetadata) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The feature metadata used to search through the features.
- withFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataRequest
-
The name of the feature.
- withFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The name of the feature that you've specified.
- withFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The name of a feature.
- withFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The name of feature.
- withFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
The name of the feature that you're updating.
- withFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attributes of the input data that are the input features.
- withFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
Provides the JMESPath expression to extract the features from a model container input in JSON Lines format.
- withFeaturesAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attributes of the input data that are the input features.
- withFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidateGenerationConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job.
- withFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot
job V2.
- withFeatureSpecificationS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID,
timestamp, and grouped columns set in TimeSeriesConfig.
- withFeatureStoreOutput(ProcessingFeatureStoreOutput) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon SageMaker Feature Store.
- withFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The data type of the feature.
- withFeatureType(FeatureType) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The data type of the feature.
- withFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The value type of a feature.
- withFeatureType(FeatureType) - Method in class com.amazonaws.services.sagemaker.model.FeatureDefinition
-
The value type of a feature.
- withFeatureType(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The data type of the feature.
- withFeatureType(FeatureType) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
The data type of the feature.
- withFeatureTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A list of data types of the features (optional).
- withFeatureTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A list of data types of the features (optional).
- withFeatureTypes(ClarifyFeatureType...) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A list of data types of the features (optional).
- withFileSystemAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The access mode of the mount of the directory associated with the channel.
- withFileSystemAccessMode(FileSystemAccessMode) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The access mode of the mount of the directory associated with the channel.
- withFileSystemConfig(FileSystemConfig) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
- withFileSystemDataSource(FileSystemDataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The file system that is associated with a channel.
- withFileSystemId(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system id.
- withFileSystemType(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system type.
- withFileSystemType(FileSystemType) - Method in class com.amazonaws.services.sagemaker.model.FileSystemDataSource
-
The file system type.
- withFilling(Map<String, Map<String, String>>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesTransformations
-
A key value pair defining the filling method for a column, where the key is the column name and the value is an
object which defines the filling logic.
- withFilters(ModelMetadataFilter...) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSearchExpression
-
A list of filter objects.
- withFilters(Collection<ModelMetadataFilter>) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSearchExpression
-
A list of filter objects.
- withFilters(Filter...) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- withFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
A list of filters.
- withFilters(QueryFilters) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A set of filtering parameters that allow you to specify which entities should be returned.
- withFilters(Filter...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- withFilters(Collection<Filter>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of filter objects.
- withFinalActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
- withFinalAutoMLJobObjectiveMetric(FinalAutoMLJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
- withFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
- withFinalMetricDataList(MetricData...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- withFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A collection of MetricData objects that specify the names, values, and dates and times that the
training algorithm emitted to Amazon CloudWatch.
- withFinalMetricDataList(MetricData...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- withFinalMetricDataList(Collection<MetricData>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A list of final metric values that are set when the training job completes.
- withFlatInvocations(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has
reached capacity.
- withFlatInvocations(FlatInvocations) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has
reached capacity.
- withFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition you create.
- withFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow defintion.
- withFlowDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The Amazon Resource Name (ARN) of the flow definition.
- withFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The name of your flow definition.
- withFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteFlowDefinitionRequest
-
The name of the flow definition you are deleting.
- withFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionRequest
-
The name of the flow definition.
- withFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the flow definition.
- withFlowDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The name of the flow definition.
- withFlowDefinitionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The status of the flow definition.
- withFlowDefinitionStatus(FlowDefinitionStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The status of the flow definition.
- withFlowDefinitionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The status of the flow definition.
- withFlowDefinitionStatus(FlowDefinitionStatus) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionSummary
-
The status of the flow definition.
- withFlowDefinitionSummaries(FlowDefinitionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
An array of objects describing the flow definitions.
- withFlowDefinitionSummaries(Collection<FlowDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
An array of objects describing the flow definitions.
- withForecastFrequency(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The frequency of predictions in a forecast.
- withForecastHorizon(Integer) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The number of time-steps that the model predicts.
- withForecastQuantiles(String...) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The quantiles used to train the model for forecasts at a specified quantile.
- withForecastQuantiles(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The quantiles used to train the model for forecasts at a specified quantile.
- withFramework(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- withFramework(Framework) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Identifies the framework in which the model was trained.
- withFramework(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning framework of the model.
- withFramework(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The machine learning framework of the model package container image.
- withFramework(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning framework of the container image.
- withFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
Specifies the framework version to use.
- withFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The framework version of the model.
- withFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The framework version of the Model Package Container Image.
- withFrameworkVersion(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The framework version of the container image.
- withGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Generates possible candidates without training the models.
- withGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the output for an AutoML job generates candidate definitions only.
- withGenerateCandidateDefinitionsOnly(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
Generates possible candidates without training the models.
- withGeneratedBy(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The entity this entity was generated by.
- withGenerateInferenceId(Boolean) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
Flag that indicates whether to append inference id to the output.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
Specifies details about the repository, including the URL where the repository is located, the default branch,
and credentials to use to access the repository.
- withGitConfig(GitConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
Configuration details about the repository, including the URL where the repository is located, the default
branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the
credentials used to access the repository.
- withGitConfig(GitConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateCodeRepositoryRequest
-
The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the Amazon Web
Services Secrets Manager secret that contains the credentials used to access the repository.
- withGranularity(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
The unit of granularity for the analysis of text features.
- withGranularity(ClarifyTextGranularity) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
The unit of granularity for the analysis of text features.
- withGroundTruthS3Input(MonitoringGroundTruthS3Input) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasJobInput
-
Location of ground truth labels to use in model bias job.
- withGroundTruthS3Input(MonitoringGroundTruthS3Input) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityJobInput
-
The ground truth label provided for the model.
- withGroupingAttributeNames(String...) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
A set of columns names that can be grouped with the item identifier column to create a composite key for which a
target value is predicted.
- withGroupingAttributeNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
A set of columns names that can be grouped with the item identifier column to create a composite key for which a
target value is predicted.
- withGroups(String...) - Method in class com.amazonaws.services.sagemaker.model.OidcMemberDefinition
-
A list of comma seperated strings that identifies user groups in your OIDC IdP.
- withGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.OidcMemberDefinition
-
A list of comma seperated strings that identifies user groups in your OIDC IdP.
- withHeader(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringCsvDatasetFormat
-
Indicates if the CSV data has a header.
- withHomeEfsFileSystem(String) - Method in class com.amazonaws.services.sagemaker.model.RetentionPolicy
-
The default is Retain, which specifies to keep the data stored on the EFS volume.
- withHomeEfsFileSystem(RetentionType) - Method in class com.amazonaws.services.sagemaker.model.RetentionPolicy
-
The default is Retain, which specifies to keep the data stored on the EFS volume.
- withHomeEfsFileSystemId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Elastic File System (EFS) managed by this Domain.
- withHomeEfsFileSystemKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Deprecated.
- withHomeEfsFileSystemKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
Deprecated.
- withHomeEfsFileSystemUid(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The ID of the space's profile in the Amazon Elastic File System volume.
- withHomeEfsFileSystemUid(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The ID of the user's profile in the Amazon Elastic File System (EFS) volume.
- withHookParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Configuration information for the Amazon SageMaker Debugger hook parameters.
- withHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates Horovod compatibility.
- withHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates Horovod compatibility.
- withHorovod(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates Horovod compatibility.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubResult
-
The Amazon Resource Name (ARN) of the hub.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub that contains the content.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon Resource Name (ARN) of the hub.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The Amazon Resource Name (ARN) of the hub.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub that the content was imported into.
- withHubArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubResult
-
The Amazon Resource Name (ARN) of the updated hub.
- withHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The Amazon Resource Name (ARN) of the hub content.
- withHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The Amazon Resource Name (ARN) of the hub content.
- withHubContentArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentResult
-
The ARN of the hub content that was imported.
- withHubContentDependencies(HubContentDependency...) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or
notebooks.
- withHubContentDependencies(Collection<HubContentDependency>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or
notebooks.
- withHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A description of the hub content.
- withHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
A description of the hub content.
- withHubContentDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A description of the hub content to import.
- withHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The display name of the hub content.
- withHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The display name of the hub content.
- withHubContentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The display name of the hub content to import.
- withHubContentDocument(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- withHubContentDocument(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The hub content document that describes information about the hub content such as type, associated containers,
scripts, and more.
- withHubContentMarkdown(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
A string that provides a description of the hub content.
- withHubContentMarkdown(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
A string that provides a description of the hub content.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the content that you want to delete from a hub.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the content to describe.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub content.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The name of the hub content.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub content to import.
- withHubContentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub content.
- withHubContentSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The searchable keywords for the hub content.
- withHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The searchable keywords for the hub content.
- withHubContentSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The searchable keywords for the hub content.
- withHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The searchable keywords for the hub content.
- withHubContentSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The searchable keywords of the hub content.
- withHubContentSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The searchable keywords of the hub content.
- withHubContentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The status of the hub content.
- withHubContentStatus(HubContentStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The status of the hub content.
- withHubContentStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The status of the hub content.
- withHubContentStatus(HubContentStatus) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The status of the hub content.
- withHubContentSummaries(HubContentInfo...) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
The summaries of the listed hub content.
- withHubContentSummaries(Collection<HubContentInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
The summaries of the listed hub content.
- withHubContentSummaries(HubContentInfo...) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
The summaries of the listed hub content versions.
- withHubContentSummaries(Collection<HubContentInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
The summaries of the listed hub content versions.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The type of content that you want to delete from a hub.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The type of content that you want to delete from a hub.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The type of content in the hub.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The type of content in the hub.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The type of hub content.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The type of hub content.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The type of hub content.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The type of hub content.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The type of hub content to import.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The type of hub content to import.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The type of hub content to list.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The type of hub content to list.
- withHubContentType(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The type of hub content to list versions of.
- withHubContentType(HubContentType) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The type of hub content to list versions of.
- withHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The version of the content that you want to delete from a hub.
- withHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The version of the content to describe.
- withHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The version of the hub content.
- withHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.HubContentInfo
-
The version of the hub content.
- withHubContentVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The version of the hub content to import.
- withHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
A description of the hub.
- withHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
A description of the hub.
- withHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
A description of the hub.
- withHubDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
A description of the updated hub.
- withHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The display name of the hub.
- withHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The display name of the hub.
- withHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The display name of the hub.
- withHubDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The display name of the hub.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The name of the hub to create.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubContentRequest
-
The name of the hub that you want to delete content in.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHubRequest
-
The name of the hub to delete.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentRequest
-
The name of the hub that contains the content to describe.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubContentResult
-
The name of the hub that contains the content.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubRequest
-
The name of the hub to describe.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The name of the hub.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The name of the hub.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
The name of the hub to import content into.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The name of the hub to list the contents of.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The name of the hub to list the content versions of.
- withHubName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The name of the hub to update.
- withHubSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The searchable keywords for the hub.
- withHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The searchable keywords for the hub.
- withHubSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The searchable keywords for the hub.
- withHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The searchable keywords for the hub.
- withHubSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The searchable keywords for the hub.
- withHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The searchable keywords for the hub.
- withHubSearchKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The searchable keywords for the hub.
- withHubSearchKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateHubRequest
-
The searchable keywords for the hub.
- withHubStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The status of the hub.
- withHubStatus(HubStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The status of the hub.
- withHubStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The status of the hub.
- withHubStatus(HubStatus) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The status of the hub.
- withHubSummaries(HubInfo...) - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
The summaries of the listed hubs.
- withHubSummaries(Collection<HubInfo>) - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
The summaries of the listed hubs.
- withHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by a human worker.
- withHumanLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects labeled by a human worker.
- withHumanLoopActivationConditions(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConditionsConfig
-
JSON expressing use-case specific conditions declaratively.
- withHumanLoopActivationConditionsConfig(HumanLoopActivationConditionsConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopActivationConfig
-
Container structure for defining under what conditions SageMaker creates a human loop.
- withHumanLoopActivationConfig(HumanLoopActivationConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the events that trigger a human workflow.
- withHumanLoopActivationConfig(HumanLoopActivationConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about what triggers a human review workflow.
- withHumanLoopConfig(HumanLoopConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about the tasks the human reviewers will perform.
- withHumanLoopConfig(HumanLoopConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about who works on the task, the workforce task price, and other task details.
- withHumanLoopRequestSource(HumanLoopRequestSource) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
Container for configuring the source of human task requests.
- withHumanLoopRequestSource(HumanLoopRequestSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
Container for configuring the source of human task requests.
- withHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords,
and batch size (task count).
- withHumanTaskConfig(HumanTaskConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information required for human workers to complete a labeling task.
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human review workflow user interface you create.
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The Amazon Resource Name (ARN) of the human task user interface (worker task template).
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The Amazon Resource Name (ARN) of the human task user interface.
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The Amazon Resource Name (ARN) of the human task user interface.
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The HumanTaskUiArn of the worker UI that you want to render.
- withHumanTaskUiArn(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
- withHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
The name of the user interface you are creating.
- withHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteHumanTaskUiRequest
-
The name of the human task user interface (work task template) you want to delete.
- withHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiRequest
-
The name of the human task user interface (worker task template) you want information about.
- withHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The name of the human task user interface (worker task template).
- withHumanTaskUiName(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskUiSummary
-
The name of the human task user interface.
- withHumanTaskUiStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The status of the human task user interface (worker task template).
- withHumanTaskUiStatus(HumanTaskUiStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
The status of the human task user interface (worker task template).
- withHumanTaskUiSummaries(HumanTaskUiSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
An array of objects describing the human task user interfaces.
- withHumanTaskUiSummaries(Collection<HumanTaskUiSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
An array of objects describing the human task user interfaces.
- withHyperbandStrategyConfig(HyperbandStrategyConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobStrategyConfig
-
The configuration for the object that specifies the Hyperband strategy.
- withHyperParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Algorithm-specific parameters that influence the quality of the model.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Algorithm-specific parameters.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Algorithm-specific parameters.
- withHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The hyperparameters used for the training job.
- withHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the tuning job ended.
- withHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job ended.
- withHyperParameterTuningEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job ended.
- withHyperParameterTuningJob(HyperParameterTuningJobSearchEntity) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a hyperparameter tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The Amazon Resource Name (ARN) of a hyperparameter tuning job.
- withHyperParameterTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The Amazon Resource Name (ARN) of the tuning job.
- withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the
objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the
tuning job.
- withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobRequest
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The name of the hyperparameter tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The name of a hyperparameter tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The name of the tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The name of the tuning job whose training jobs you want to list.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ParentHyperParameterTuningJob
-
The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- withHyperParameterTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopHyperParameterTuningJobRequest
-
The name of the tuning job to stop.
- withHyperParameterTuningJobObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
- withHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
- withHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The status of a hyperparameter tuning job.
- withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The status of a hyperparameter tuning job.
- withHyperParameterTuningJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The status of the tuning job.
- withHyperParameterTuningJobSummaries(HyperParameterTuningJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- withHyperParameterTuningJobSummaries(Collection<HyperParameterTuningJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
- withHyperParameterTuningResourceConfig(HyperParameterTuningResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes,
used for training jobs launched by the tuning job.
- withIamIdentity(IamIdentity) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The IAM Identity details associated with the user.
- withIdentityProviderOAuthSettings(IdentityProviderOAuthSetting...) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The settings for connecting to an external data source with OAuth.
- withIdentityProviderOAuthSettings(Collection<IdentityProviderOAuthSetting>) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The settings for connecting to an external data source with OAuth.
- withImage(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The Amazon Elastic Container Registry (Amazon ECR) path of the container.
- withImage(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The path where inference code is stored.
- withImage(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageResult
-
The ARN of the image.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the image.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the image the version is based on.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The ARN of the image.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the image the version is based on.
- withImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageResult
-
The ARN of the image.
- withImageClassificationJobConfig(ImageClassificationJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the image classification problem type.
- withImageConfig(ImageConfig) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
- withImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The name of the image.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The ImageName of the Image to create a version of.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The name of the CustomImage.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageRequest
-
The name of the image to delete.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The name of the image to delete.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageRequest
-
The name of the image to describe.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The name of the image.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The name of the image.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The name of the image.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The name of the image.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The name of the image to list the versions of.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The name of the image to update.
- withImageName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The name of the image.
- withImages(Image...) - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A list of images and their properties.
- withImages(Collection<Image>) - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A list of images and their properties.
- withImageScanStatuses(AlgorithmStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- withImageScanStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of the scan of the algorithm's Docker image container.
- withImageScanStatuses(ModelPackageStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- withImageScanStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The status of the scan of the Docker image container for the model package.
- withImageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The status of the image.
- withImageStatus(ImageStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The status of the image.
- withImageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The status of the image.
- withImageStatus(ImageStatus) - Method in class com.amazonaws.services.sagemaker.model.Image
-
The status of the image.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.AppSpecification
-
The container image to be run by the processing job.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
The container image that the data quality monitoring job runs.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelBiasAppSpecification
-
The container image to be run by the model bias job.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelExplainabilityAppSpecification
-
The container image to be run by the model explainability job.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The address of the container image that the monitoring job runs.
- withImageUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
The container image to be run by the monitoring job.
- withImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionResult
-
The ARN of the image version.
- withImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The ARN of the version.
- withImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The ARN of the version.
- withImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionResult
-
The ARN of the image version.
- withImageVersionNumber(Integer) - Method in class com.amazonaws.services.sagemaker.model.CustomImage
-
The version number of the CustomImage.
- withImageVersions(ImageVersion...) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A list of versions and their properties.
- withImageVersions(Collection<ImageVersion>) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A list of versions and their properties.
- withImageVersionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The status of the version.
- withImageVersionStatus(ImageVersionStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The status of the version.
- withImageVersionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The status of the version.
- withImageVersionStatus(ImageVersionStatus) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The status of the version.
- withIncludeEdges(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Setting this value to
True retrieves not only the entities of interest but also the
Associations and
lineage entities on the path.
- withIncludeInferenceResponseIn(String...) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
The Amazon SNS topics where you want the inference response to be included.
- withIncludeInferenceResponseIn(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
The Amazon SNS topics where you want the inference response to be included.
- withIncludeInferenceResponseIn(AsyncNotificationTopicTypes...) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
The Amazon SNS topics where you want the inference response to be included.
- withInferenceAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The attribute of the input data that represents the ground truth label.
- withInferenceAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The attribute of the input data that represents the ground truth label.
- withInferenceBenchmark(RecommendationJobInferenceBenchmark) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The details for a specific benchmark.
- withInferenceConfig(ClarifyInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The inference configuration parameter for the model container.
- withInferenceContainerDefinitions(Map<String, List<AutoMLContainerDefinition>>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the
candidate.
- withInferenceContainers(AutoMLContainerDefinition...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the recommended inference container definitions.
- withInferenceContainers(Collection<AutoMLContainerDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
Information about the recommended inference container definitions.
- withInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
Specifies details of how containers in a multi-container endpoint are called.
- withInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Specifies details of how containers in a multi-container endpoint are called.
- withInferenceExecutionConfig(InferenceExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- withInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentResult
-
The ARN for your inference experiment.
- withInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentResult
-
The ARN of the deleted inference experiment.
- withInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentResult
-
The ARN of the started inference experiment to start.
- withInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentResult
-
The ARN of the stopped inference experiment.
- withInferenceExperimentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentResult
-
The ARN of the updated inference experiment.
- withInferenceExperiments(InferenceExperimentSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
List of inference experiments.
- withInferenceExperiments(Collection<InferenceExperimentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
List of inference experiments.
- withInferenceImage(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The inference image to use when compiling a model.
- withInferenceRecommendations(InferenceRecommendation...) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The recommendations made by Inference Recommender.
- withInferenceRecommendations(Collection<InferenceRecommendation>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The recommendations made by Inference Recommender.
- withInferenceRecommendationsJobName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The name of a previously completed Inference Recommender job.
- withInferenceRecommendationsJobName(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The name of a previously completed Inference Recommender job.
- withInferenceRecommendationsJobs(InferenceRecommendationsJob...) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
The recommendations created from the Amazon SageMaker Inference Recommender job.
- withInferenceRecommendationsJobs(Collection<InferenceRecommendationsJob>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
The recommendations created from the Amazon SageMaker Inference Recommender job.
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about inference jobs that the algorithm runs, including the following:
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies details about inference jobs that can be run with models based on this model package, including the
following:
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about inference jobs that the algorithm runs.
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about inference jobs that can be run with models based on this model package.
- withInferenceSpecification(InferenceSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Defines how to perform inference generation after a training job is run.
- withInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The inference specification name in the model package version.
- withInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The inference specification name in the model package version.
- withInferenceSpecificationName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelConfiguration
-
The inference specification name in the model package version.
- withInfrastructureConfig(ModelInfrastructureConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The configuration for the infrastructure that the model will be deployed to.
- withInfrastructureConfig(ModelInfrastructureConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The configuration of the infrastructure that the model has been deployed to.
- withInfrastructureType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The inference option to which to deploy your model.
- withInfrastructureType(ModelInfrastructureType) - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The inference option to which to deploy your model.
- withInitialActiveLearningModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for
auto-labeling.
- withInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The number of instances recommended to launch initially.
- withInitialInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Number of instances to launch initially.
- withInitialNumberOfUsers(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specifies how many concurrent users to start with.
- withInitialSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The percentage of requests SageMaker will capture.
- withInitialVariantWeight(Float) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.
- withInProgress(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of in-progress training jobs launched by a hyperparameter tuning job.
- withInput(String) - Method in class com.amazonaws.services.sagemaker.model.RenderableTask
-
A JSON object that contains values for the variables defined in the template.
- withInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The input artifacts for the component.
- withInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The input artifacts of the component.
- withInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The input artifacts of the component.
- withInputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's input artifacts with the specified artifacts or adds new input artifacts.
- withInputArtifactsToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The input artifacts to remove from the component.
- withInputArtifactsToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The input artifacts to remove from the component.
- withInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the location of input model artifacts, the name and shape of the expected data inputs,
and the framework in which the model was trained.
- withInputConfig(RecommendationJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the
manifest file that describes the data objects.
- withInputConfig(InputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data
inputs, and the framework in which the model was trained.
- withInputConfig(RecommendationJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and
endpoint configurations you provided when you initiated the job.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the
location of the manifest file that describes the data objects.
- withInputConfig(LabelingJobInputConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Input configuration for the labeling job.
- withInputDataConfig(AutoMLChannel...) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of channel objects that describes the input data and its location.
- withInputDataConfig(Collection<AutoMLChannel>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of channel objects that describes the input data and its location.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of Channel objects.
- withInputDataConfig(AutoMLChannel...) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the input data configuration for the AutoML job.
- withInputDataConfig(Collection<AutoMLChannel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the input data configuration for the AutoML job.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel
objects that specify the input for the training jobs that the tuning job launches.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
An array of
Channel
objects that specify the input for the training jobs that the tuning job launches.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of Channel objects that describes each data input channel.
- withInputDataConfig(Channel...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- withInputDataConfig(Collection<Channel>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
An array of Channel objects, each of which specifies an input source.
- withInputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the input data to pass to the algorithm.
- withInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- withInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
(Optional) The input mode to use for the data channel in a training job.
- withInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether to use File or Pipe input mode.
- withInputMode(InputMode) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
Whether to use File or Pipe input mode.
- withInputName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
The name for the processing job input.
- withInstanceConfigs(HyperParameterTuningInstanceConfig...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
- withInstanceConfigs(Collection<HyperParameterTuningInstanceConfig>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A list containing the configuration(s) for one or more resources for processing hyperparameter jobs.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The number of instances of the type specified by InstanceType.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The number of compute instances of type InstanceType to use.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the number of instances of the instance group.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The number of ML compute instances to use in the model monitoring job.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The number of ML compute instances to use in the processing job.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The number of instances of the type specified by InstanceType.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The number of ML compute instances to use.
- withInstanceCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The number of ML compute instances to use in the transform job.
- withInstanceGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the name of the instance group.
- withInstanceGroupNames(String...) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of names of instance groups that get data from the S3 data source.
- withInstanceGroupNames(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
A list of names of instance groups that get data from the S3 data source.
- withInstanceGroups(InstanceGroup...) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The configuration of a heterogeneous cluster in JSON format.
- withInstanceGroups(Collection<InstanceGroup>) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The configuration of a heterogeneous cluster in JSON format.
- withInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- withInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Information on the IMDS configuration of the notebook instance
- withInstanceMetadataServiceConfiguration(InstanceMetadataServiceConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Information on the IMDS configuration of the notebook instance
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The type of ML compute instance to launch for the notebook instance.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The instance type to deploy a custom rule for debugging a training job.
- withInstanceType(ProcessingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The instance type to deploy a custom rule for debugging a training job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The type of ML compute instance running on the notebook instance.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The instance types to use for the load test.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
The instance types to use for the load test.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The instance type recommended by Amazon SageMaker Inference Recommender.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The instance type recommended by Amazon SageMaker Inference Recommender.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The instance type used for processing of hyperparameter optimization jobs.
- withInstanceType(TrainingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The instance type used for processing of hyperparameter optimization jobs.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The instance type used to run hyperparameter optimization tuning jobs.
- withInstanceType(TrainingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The instance type used to run hyperparameter optimization tuning jobs.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the instance type of the instance group.
- withInstanceType(TrainingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.InstanceGroup
-
Specifies the instance type of the instance group.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The ML compute instance type for the processing job.
- withInstanceType(ProcessingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The ML compute instance type for the processing job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The type of ML compute instance that the notebook instance is running on.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The type of instances associated with the variant.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The type of instances associated with the variant.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The ML compute instance type for the processing job.
- withInstanceType(ProcessingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The ML compute instance type for the processing job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The ML compute instance type.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The instance type to deploy a custom rule for profiling a training job.
- withInstanceType(ProcessingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The instance type to deploy a custom rule for profiling a training job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The instance type the model is deployed to.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceConfig
-
The instance type the model is deployed to.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended instance type for Real-Time Inference.
- withInstanceType(ProductionVariantInstanceType) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommended instance type for Real-Time Inference.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- withInstanceType(TrainingInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The ML compute instance type.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The instance type that the image version runs on.
- withInstanceType(AppInstanceType) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The instance type that the image version runs on.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- withInstanceType(TransformInstanceType) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The ML compute instance type for the transform job.
- withInstanceType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- withInstanceType(InstanceType) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon ML compute instance type.
- withIntegerParameterRanges(IntegerParameterRange...) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job
searches.
- withIntegerParameterRanges(Collection<IntegerParameterRange>) - Method in class com.amazonaws.services.sagemaker.model.ParameterRanges
-
The array of
IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job
searches.
- withIntegerParameterRangeSpecification(IntegerParameterRangeSpecification) - Method in class com.amazonaws.services.sagemaker.model.ParameterRange
-
A IntegerParameterRangeSpecification object that defines the possible values for an integer
hyperparameter.
- withInvocationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark completed.
- withInvocationEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark completed.
- withInvocationsMaxRetries(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The maximum number of retries when invocation requests are failing.
- withInvocationsPerInstance(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant.
- withInvocationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
A timestamp that shows when the benchmark started.
- withInvocationStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
A timestamp that shows when the benchmark started.
- withInvocationsTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelClientConfig
-
The timeout value in seconds for an invocation request.
- withIotRoleAlias(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
- withIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
- withIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.Device
-
Amazon Web Services Internet of Things (IoT) object name.
- withIotThingName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
- withIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
Indicates whether the channel is required by the algorithm.
- withIsRequired(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is required.
- withIssuer(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP issuer used to configure your private workforce.
- withIssuer(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP issuer used to configure your private workforce.
- withIsTunable(Boolean) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
- withItemIdentifierAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column that represents the set of item identifiers for which you want to predict the target
value.
- withJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the recommendation job.
- withJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the job.
- withJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of the recommendation job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the job definition.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality monitoring job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the data quality monitoring job definition.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model bias job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model explainability job.
- withJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the model quality job.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The name for the monitoring job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The name of the bias job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The name of the monitoring job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to delete.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelBiasJobDefinitionRequest
-
The name of the model bias job definition to delete.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition to delete.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelQualityJobDefinitionRequest
-
The name of the model quality monitoring job definition to delete.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionRequest
-
The name of the data quality monitoring job definition to describe.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The name of the data quality monitoring job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionRequest
-
The name of the model bias job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The name of the bias job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionRequest
-
The name of the model explainability job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The name of the explainability job definition.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionRequest
-
The name of the model quality job.
- withJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The name of the quality job definition.
- withJobDefinitionSummaries(MonitoringJobDefinitionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
A list of data quality monitoring job definitions.
- withJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
A list of data quality monitoring job definitions.
- withJobDefinitionSummaries(MonitoringJobDefinitionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
A JSON array in which each element is a summary for a model bias jobs.
- withJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
A JSON array in which each element is a summary for a model bias jobs.
- withJobDefinitionSummaries(MonitoringJobDefinitionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
A JSON array in which each element is a summary for a explainability bias jobs.
- withJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
A JSON array in which each element is a summary for a explainability bias jobs.
- withJobDefinitionSummaries(MonitoringJobDefinitionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
A list of summaries of model quality monitoring job definitions.
- withJobDefinitionSummaries(Collection<MonitoringJobDefinitionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
A list of summaries of model quality monitoring job definitions.
- withJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Description of the recommendation job.
- withJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job description that you provided when you initiated the job.
- withJobDescription(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The job description.
- withJobDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the maximum duration of the job, in seconds.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A name for the recommendation job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobRequest
-
The name of the job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The name of the job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The name of the Inference Recommender job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The name for the Inference Recommender job.
- withJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceRecommendationsJobRequest
-
The name of the job you want to stop.
- withJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A unique identifier for work done as part of a labeling job.
- withJobReferenceCode(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
A unique identifier for a labeling job.
- withJobReferenceCodeContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
A filter the limits jobs to only the ones whose job reference code contains the specified string.
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- withJobResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- withJobType(JobType) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Defines the type of recommendation job.
- withJobType(RecommendationJobType) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Defines the type of recommendation job.
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates SageMaker job type compatibility.
- withJobType(JobType) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates SageMaker job type compatibility.
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job type that you provided when you initiated the job.
- withJobType(RecommendationJobType) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The job type that you provided when you initiated the job.
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The recommendation job type.
- withJobType(RecommendationJobType) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The recommendation job type.
- withJobType(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- withJobType(JobType) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates SageMaker job type compatibility.
- withJoinSource(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- withJoinSource(JoinSource) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
Specifies the source of the data to join with the transformed data.
- withJson(MonitoringJsonDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The JSON dataset used in the monitoring job
- withJsonContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as JSON and capture accordingly.
- withJsonContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CaptureContentTypeHeader
-
The list of all content type headers that SageMaker will treat as JSON and capture accordingly.
- withJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- withJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- withJupyterServerAppSettings(JupyterServerAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The Jupyter server's app settings.
- withJwksUri(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- withJwksUri(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
- withKeepAlivePeriodInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
- withKeepAlivePeriodInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfigForUpdate
-
The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.
- withKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
- withKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.SpaceSettings
-
- withKernelGatewayAppSettings(KernelGatewayAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The kernel gateway app settings.
- withKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
The configuration for the file system and kernels in the SageMaker image.
- withKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
The KernelGatewayImageConfig.
- withKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
The configuration of a KernelGateway app.
- withKernelGatewayImageConfig(KernelGatewayImageConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateAppImageConfigRequest
-
The new KernelGateway app to run on the image.
- withKernelSpecs(KernelSpec...) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The specification of the Jupyter kernels in the image.
- withKernelSpecs(Collection<KernelSpec>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayImageConfig
-
The specification of the Jupyter kernels in the image.
- withKey(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The environment key suggested by the Amazon SageMaker Inference Recommender.
- withKey(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
A key that must contain a value to describe the feature.
- withKey(String) - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The key that identifies a provisioning parameter.
- withKey(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag key.
- withKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- withKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
- withKmsKey(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentDataStorageConfig
-
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest
using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
asynchronous inference output in Amazon S3.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data generated from an Athena query execution.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Key Management Service (KMS) encryption key ID.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the batch transform job.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
SageMaker uses Amazon Web Services KMS to encrypt the EFS volume attached to the domain with an Amazon Web
Services managed key by default.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to the ML compute instance that hosts the endpoint.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
data on the storage volume attached to your notebook instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt
the captured data at rest using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DataCaptureConfigSummary
-
The KMS key being used to encrypt the data in Amazon S3.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the ML storage volume
attached to the instance.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume after compilation job.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon Key Management Service (KMS) key ID for server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSecurityConfig
-
A Key Management Service
key ID to use for
encrypting a model card.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreSecurityConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the
Amazon S3 objects at rest using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to
encrypt your output models with Amazon S3 server-side encryption after compilation job.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
model artifacts at rest using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the processing job output.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantCoreDumpConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the
core dump data at rest using Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobOutputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data from a Redshift execution.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into
the OfflineStore S3 location.
- withKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- withLabelAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to locate the list of label headers in the model container output.
- withLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The attribute name to use for the label in the output manifest file.
- withLabelAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The attribute used as the label in the output manifest file.
- withLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The S3 URI of the file, referred to as a label category configuration file, that defines the categories
used to label the data objects.
- withLabelCategoryConfigS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The S3 location of the JSON file that defines the categories used to label data objects.
- withLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine,
the number of objects than couldn't be labeled, and the total number of objects labeled.
- withLabelCounters(LabelCountersForWorkteam) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
Provides information about the progress of a labeling job.
- withLabelCounters(LabelCounters) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
Counts showing the progress of the labeling job.
- withLabelHeaders(String...) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
For multiclass classification problems, the label headers are the names of the classes.
- withLabelHeaders(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
For multiclass classification problems, the label headers are the names of the classes.
- withLabelIndex(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a label header or list of label headers from model container output in CSV
format.
- withLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
Configures the information required to perform automated data labeling.
- withLabelingJobAlgorithmsConfig(LabelingJobAlgorithmsConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
Configuration information for automated data labeling.
- withLabelingJobAlgorithmSpecificationArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training
job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or
training job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the labeling job.
- withLabelingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the labeling job that created the transform job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The name of the labeling job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobRequest
-
The name of the labeling job to return information for.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The name assigned to the labeling job when it was created.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The name of the labeling job that the work team is assigned to.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The name of the labeling job.
- withLabelingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopLabelingJobRequest
-
The name of the labeling job to stop.
- withLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the output produced by the labeling job.
- withLabelingJobOutput(LabelingJobOutput) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The location of the output produced by the labeling job.
- withLabelingJobResourceConfig(LabelingJobResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobAlgorithmsConfig
-
Provides configuration information for a labeling job.
- withLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- withLabelingJobStatus(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The processing status of the labeling job.
- withLabelingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- withLabelingJobStatus(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The current status of the labeling job.
- withLabelingJobSummaryList(LabelingJobForWorkteamSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(Collection<LabelingJobForWorkteamSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(LabelingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLabelingJobSummaryList(Collection<LabelingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
An array of LabelingJobSummary objects, each describing a labeling job.
- withLambda(LambdaStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output
parameters.
- withLanguage(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
Specifies the language of the text features in
ISO 639-1 or
ISO 639-3 code of a supported language.
- withLanguage(ClarifyTextLanguage) - Method in class com.amazonaws.services.sagemaker.model.ClarifyTextConfig
-
Specifies the language of the text features in
ISO 639-1 or
ISO 639-3 code of a supported language.
- withLast(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The most recent value of the metric.
- withLastBatchTransformJob(TransformJob) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
- withLastDeploymentConfig(DeploymentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
The most recent deployment configuration for the endpoint.
- withLastExecutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The last time that a pipeline execution began.
- withLastHealthCheckTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last health check.
- withLastModifiedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The date and time that the model export job was last modified.
- withLastModifiedAt(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The date and time that the model card export job was last modified..
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
Who last modified the experiment.
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
Who last modified the component.
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
Who last modified the trial.
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Information about the user who created or modified an experiment, trial, trial component, lineage group, or
project.
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- withLastModifiedBy(UserContext) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
Who last modified the component.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
When the action was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AppImageConfigDetails
-
When the AppImageConfig was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
When the artifact was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
When the AutoML job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CodeRepositorySummary
-
The date and time that the Git repository was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CompilationJobSummary
-
The time when the model compilation job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
When the context was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
When the action was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppImageConfigResult
-
When the AppImageConfig was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
When the artifact was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCodeRepositoryResult
-
The date and time that the repository was last changed.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The time that the status of the model compilation job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
When the context was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
Timestamp of when the device fleet was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
The time when the edge deployment plan was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The timestamp of when the job was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
A timestamp that shows when the endpoint was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
When the experiment was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A timestamp indicating when the feature group was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
A timestamp indicating when the metadata for the feature group was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The date and time that the hub was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The date and time that the status of the tuning job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
When the image was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
When the version was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The timestamp at which you last modified the inference experiment.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
A timestamp that shows when the job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The date and time that the labeling job was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The last modified time of the lineage group.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The date and time the model card was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The last time that the model package was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The time at which the monitoring job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
A timestamp that tells when the lifecycle configuration was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
A timestamp.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The time when the pipeline execution was modified last.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The timestamp when project was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A timestamp that indicates when the status of the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
When the trial was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceFleetSummary
-
Timestamp of when the device fleet was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentPlanSummary
-
The time when the edge deployment plan was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The timestamp of when the edge packaging job was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
The last time the endpoint was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EndpointSummary
-
A timestamp that shows when the endpoint was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
When the experiment was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSummary
-
When the experiment was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A timestamp indicating the last time you updated the feature group.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
A timestamp indicating when the feature was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HubInfo
-
The date and time that the hub was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The time that a hyperparameter tuning job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The date and time that the tuning job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Image
-
When the image was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
When the version was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The timestamp when you last modified the inference experiment.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
A timestamp that shows when the job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The date and time that the job was last modified (timestamp).
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The last modified time of the lineage group summary.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The date and time that the model card was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The date and time that the model card was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The time date and time that the model card version was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardEndpoint
-
The last time the endpoint was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A timestamp that indicates when the model card was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A timestamp that indicates when the monitoring schedule was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The last time the model package was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
A timestamp that indicates when a monitor alert was last updated.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
A timestamp that indicates the last time the monitoring job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The last time the monitoring schedule was changed.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The last time the monitoring schedule was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
A timestamp that tells when the lifecycle configuration was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
A timestamp that shows when the notebook instance was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time that the pipeline was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The time that the pipeline execution was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The time that the pipeline was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time the processing job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
A timestamp that indicates the last time the processing job was modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Timestamp when the rule evaluation status was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Project
-
A timestamp container for when the project was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The last modified time.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A timestamp that indicates when the status of the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
Timestamp when the training job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
Who last modified the trial.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
When the trial was last modified.
- withLastModifiedTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The last modified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified after a specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated after X
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated after this time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated after specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified after the specified timestamp.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified after the time specified.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified after this timestamp.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified before a specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified after a specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified after the specified time.
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified after the specified time (timestamp).
- withLastModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified after the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A filter that returns only Git repositories that were last modified before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs that were modified before a specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Select fleets where the job was updated before X
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans that were last updated before this time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Select jobs where the job was updated before specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints that were modified before the specified timestamp.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs that were last modified before the time specified.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs that were modified before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images modified on or before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
A filter that returns only versions modified on or before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which were last modified before this timestamp.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were last modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that returns only labeling jobs modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only jobs modified after a specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances that were modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that returns only processing jobs modified before the specified time.
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that returns only training jobs modified before the specified time (timestamp).
- withLastModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that returns only transform jobs modified before the specified time.
- withLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Describes metadata on the last execution to run, if there was one.
- withLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- withLastMonitoringExecutionSummary(MonitoringExecutionSummary) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- withLastRunTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The time when the pipeline was last run.
- withLastRunTime(Date) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The time when the pipeline was last run.
- withLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The most recent date that
UpdateWorkforce was
used to successfully add one or more IP address ranges (
CIDRs) to a private workforce's
allow list.
- withLastUpdatedDate(Date) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The date and time that the work team was last updated (timestamp).
- withLastUpdateStatus(LastUpdateStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A value indicating whether the update made to the feature group was successful.
- withLastUpdateStatus(LastUpdateStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
A value that indicates whether the feature group was updated successfully.
- withLastUserActivityTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The timestamp of the last user's activity.
- withLatestHeartbeat(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The last heartbeat received from the device.
- withLatestHeartbeat(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The last heartbeat received from the device.
- withLatestHeartbeatAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Select fleets where the job was updated after X
- withLatestInference(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last inference that was made.
- withLatestSampleTime(Date) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The timestamp of the last data sample taken.
- withLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
- withLifecycleConfigArns(String...) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.
- withLifecycleConfigArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.JupyterServerAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.
- withLifecycleConfigArns(String...) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
- withLifecycleConfigArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.KernelGatewayAppSettings
-
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
- withLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- withLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of a lifecycle configuration to associate with the notebook instance.
- withLine(Boolean) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJsonDatasetFormat
-
Indicates if the file should be read as a json object per line.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The Amazon Resource Name (ARN) of the lineage group resource.
- withLineageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the lineage group resource.
- withLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupRequest
-
The name of the lineage group.
- withLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLineageGroupResult
-
The name of the lineage group.
- withLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyRequest
-
The name or Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.LineageGroupSummary
-
The name or Amazon Resource Name (ARN) of the lineage group.
- withLineageGroupSummaries(LineageGroupSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
A list of lineage groups and their properties.
- withLineageGroupSummaries(Collection<LineageGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
A list of lineage groups and their properties.
- withLineageType(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of resource of the lineage entity.
- withLineageType(LineageType) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of resource of the lineage entity.
- withLineageTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
- withLineageTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
- withLineageTypes(LineageType...) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
- withLinearStepSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Batch size for each step to turn on traffic on the new endpoint fleet.
- withListingId(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
Marketplace product listing ID.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Path to the filesystem where the batch transform data is available to the container.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
(Optional) The local directory where checkpoints are written.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to local storage location for metrics and tensors.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to local storage location for output of rules.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Path to the filesystem where the endpoint data is available to the container.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The local path in your container where you want Amazon SageMaker to write input data to.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to local storage location for output of rules.
- withLocalPath(String) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to local storage location for tensorBoard output.
- withLogFilePath(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The path to the log file where the cluster step's failure root cause is recorded.
- withLogoutEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP logout endpoint used to configure your private workforce.
- withLogoutEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP logout endpoint used to configure your private workforce.
- withMachineLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled by automated data labeling.
- withManifestS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobS3DataSource
-
The Amazon S3 location of the manifest file that describes the input data objects.
- withMarketplaceDescription(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The description of the vendor from the Amazon Marketplace.
- withMarketplaceTitle(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The title of the service provided by the vendor in the Amazon Marketplace.
- withMax(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The maximum value of the metric.
- withMaxAutoMLJobRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum runtime, in seconds, an AutoML job has to complete.
- withMaxCandidates(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum number of times a training job is allowed to run.
- withMaxCapacity(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended maximum capacity to specify for your autoscaling policy.
- withMaxConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The maximum number of concurrent invocations your serverless endpoint can process.
- withMaxConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated maximum number of concurrent invocations your serverless endpoint can process.
- withMaxConcurrentInvocationsPerInstance(Integer) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceClientConfig
-
The maximum number of concurrent requests sent by the SageMaker client to the model container.
- withMaxConcurrentTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Defines the maximum number of data objects that can be labeled by human workers at the same time.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum number of parallel requests on each instance node that can be launched in a transform job.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- withMaxConcurrentTransforms(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum number of parallel requests that can be sent to each instance in a transform job.
- withMaxDepth(Integer) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
The maximum depth in lineage relationships from the StartArns that are traversed.
- withMaxHumanLabeledObjectCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of objects that can be labeled by human workers.
- withMaximumBatchSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for each rolling step to provision capacity and turn on traffic on the new endpoint fleet, and
terminate capacity on the old endpoint fleet.
- withMaximumExecutionTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Maximum execution timeout for the deployment.
- withMaximumExecutionTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The time limit for the total deployment.
- withMaximumRetryAttempts(Integer) - Method in class com.amazonaws.services.sagemaker.model.RetryStrategy
-
The number of times to retry the job.
- withMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected maximum number of requests per minute for the instance.
- withMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The maximum number of requests per minute expected for the endpoint.
- withMaxInvocations(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected maximum number of requests per minute for the instance.
- withMaxInvocationsPerMinute(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The maximum number of expected requests to your endpoint per minute.
- withMaxModels(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The maximum number of models.
- withMaxNumberOfTests(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of load tests.
- withMaxNumberOfTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of training jobs that a hyperparameter tuning job can launch.
- withMaxNumberOfTrainingJobsNotImproving(Integer) - Method in class com.amazonaws.services.sagemaker.model.BestObjectiveNotImproving
-
The number of training jobs that have failed to improve model performance by 1% or greater over prior training
jobs as evaluated against an objective function.
- withMaxParallelExecutionSteps(Integer) - Method in class com.amazonaws.services.sagemaker.model.ParallelismConfiguration
-
The max number of steps that can be executed in parallel.
- withMaxParallelOfTests(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobResourceLimit
-
Defines the maximum number of parallel load tests.
- withMaxParallelTrainingJobs(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum payload size (MB) allowed of a request from the explainer to the model container.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The maximum allowed size of the payload, in MB.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The maximum payload size, in MB, used in the transform job.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The maximum allowed size of the payload, in MB.
- withMaxPayloadInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
The maximum payload size allowed, in MB.
- withMaxPercentageOfInputDatasetLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobStoppingConditions
-
The maximum number of input data objects that should be labeled.
- withMaxRecordCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
The maximum number of records in a request that the model container can process when querying the model container
for the predictions of a
synthetic dataset.
- withMaxResource(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
The maximum number of results to select (50 by default).
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The maximum number of actions to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The maximum number of algorithms to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The maximum number of aliases to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The maximum number of artifacts to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The maximum number of associations to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs up to a specified limit.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the job's candidates up to a specified limit.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The maximum number of Git repositories to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The maximum number of model compilation jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The maximum number of contexts to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The maximum number of data quality monitoring job definitions to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The maximum number of results to select.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
Maximum number of results to select.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The maximum number of results to select (50 by default).
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Maximum number of results to select.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The maximum number of training jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The maximum number of endpoints to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The maximum number of experiments to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The maximum number of results returned by ListFeatureGroups.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
The total number of items to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The maximum amount of hub content to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The maximum number of hub content versions to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
The maximum number of hubs to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
The total number of items to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The maximum number of tuning jobs to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The maximum number of images to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The maximum number of versions to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The maximum number of results to select.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The maximum number of recommendations to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
The maximum number of results to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The maximum number of labeling jobs to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The maximum number of labeling jobs to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The maximum number of endpoints to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The maximum number of model bias jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
The maximum number of model card export jobs to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
The maximum number of model cards to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
The maximum number of model card versions to list.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The maximum number of jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
The maximum number of models to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The maximum number of results to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The maximum number of model packages to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The maximum number of results to return in a call to ListModelQualityJobDefinitions.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The maximum number of models to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The maximum number of results to display.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The maximum number of results to display.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The maximum number of jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The maximum number of jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The maximum number of lifecycle configurations to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The maximum number of notebook instances to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The maximum number of pipeline executions to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The maximum number of pipeline execution steps to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The maximum number of parameters to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The maximum number of pipelines to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The maximum number of processing jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The maximum number of projects to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The maximum number of results returned by ListResourceCatalogs.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The maximum number of requests to select.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
Maximum number of tags to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The maximum number of training jobs to return.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The maximum number of training jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The maximum number of transform jobs to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The maximum number of components to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The maximum number of trials to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The total number of items to return in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
The maximum number of workforces returned in the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The maximum number of work teams to return in each page of the response.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the results.
- withMaxResults(Integer) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The maximum number of results to return.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringStoppingCondition
-
The maximum runtime allowed in seconds.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingStoppingCondition
-
Specifies the maximum runtime in seconds.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceLimits
-
The maximum time in seconds that a hyperparameter tuning job can run.
- withMaxRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
- withMaxRuntimePerTrainingJobInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobCompletionCriteria
-
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as
part of a hyperparameter tuning job.
- withMaxSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
The upper bound of the hub content schema verion.
- withMaxSchemaVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The upper bound of the hub content schema version.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The maximum value for the hyperparameter.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The maximum floating-point value allowed.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The maximum value of the hyperparameter to search.
- withMaxValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The maximum integer value allowed.
- withMaxWaitTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.StoppingCondition
-
The maximum length of time, in seconds, that a managed Spot training job has to complete.
- withMediaType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The media type of the artifact, which indicates the type of data in the artifact file.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemberDefinitions(MemberDefinition...) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemberDefinitions(Collection<MemberDefinition>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
A list of MemberDefinition objects that contains objects that identify the workers that make up the
work team.
- withMemorySizeInMB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The memory size of your serverless endpoint.
- withMemoryUtilization(Float) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected memory utilization at maximum invocations per minute for the instance.
- withMessage(String) - Method in class com.amazonaws.services.sagemaker.model.RenderingError
-
A human-readable message describing the error.
- withMessage(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
If the component failed, a message describing why.
- withMetadata(PipelineExecutionStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
Metadata to run the pipeline step.
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metadata properties of the tracking entity, trial, or trial component.
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- withMetadataProperties(MetadataProperties) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- withMetric(ScalingPolicyMetric) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
A list of metric definition objects.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition
objects that specify the metrics that the algorithm emits.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
An array of
MetricDefinition
objects that specify the metrics that the algorithm emits.
- withMetricDefinitions(MetricDefinition...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- withMetricDefinitions(Collection<MetricDefinition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobObjective
-
The name of the objective metric used to measure the predictive quality of a machine learning system.
- withMetricName(AutoMLMetricEnum) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobObjective
-
The name of the objective metric used to measure the predictive quality of a machine learning system.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The name of the customized metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the metric with the best result.
- withMetricName(AutoMLMetricEnum) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the metric with the best result.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The name of the objective metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
The name of the metric to use for the objective metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The name of the metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the metric.
- withMetricName(AutoMLMetricEnum) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the metric.
- withMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The name of the metric.
- withMetrics(TrialComponentMetricSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The metrics for the component.
- withMetrics(Collection<TrialComponentMetricSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The metrics for the component.
- withMetrics(InferenceMetrics) - Method in class com.amazonaws.services.sagemaker.model.EndpointPerformance
-
The metrics for an existing endpoint.
- withMetrics(RecommendationMetrics) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The metrics used to decide what recommendation to make.
- withMetrics(RecommendationMetrics) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- withMetrics(TrialComponentMetricSummary...) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The metrics for the component.
- withMetrics(Collection<TrialComponentMetricSummary>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The metrics for the component.
- withMetricSpecification(MetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
An object containing information about a metric.
- withMimeType(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The MIME type of the baseline data.
- withMin(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The minimum value of the metric.
- withMinCapacity(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended minimum capacity to specify for your autoscaling policy.
- withMinimumInstanceMetadataServiceVersion(String) - Method in class com.amazonaws.services.sagemaker.model.InstanceMetadataServiceConfiguration
-
Indicates the minimum IMDS version that the notebook instance supports.
- withMinInvocationsPerMinute(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyObjective
-
The minimum number of expected requests to your endpoint per minute.
- withMinResource(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperbandStrategyConfig
-
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter
tuning job.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The minimum value for the hyperparameter.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRangeSpecification
-
The minimum floating-point value allowed.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The minimum value of the hyperparameter to search.
- withMinValue(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRangeSpecification
-
The minimum integer value allowed.
- withMinVersion(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
The lower bound of the hub content versions to list.
- withMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The machine learning framework vended in the image version.
- withMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The machine learning framework vended in the image version.
- withMLFramework(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The machine learning framework vended in the image version.
- withMode(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The method that Autopilot uses to train the data.
- withMode(AutoMLMode) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The method that Autopilot uses to train the data.
- withMode(String) - Method in class com.amazonaws.services.sagemaker.model.Autotune
-
Set Mode to Enabled if you want to use Autotune.
- withMode(AutotuneMode) - Method in class com.amazonaws.services.sagemaker.model.Autotune
-
Set Mode to Enabled if you want to use Autotune.
- withMode(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Whether the container hosts a single model or multiple models.
- withMode(ContainerMode) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Whether the container hosts a single model or multiple models.
- withMode(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExecutionConfig
-
How containers in a multi-container are run.
- withMode(InferenceExecutionMode) - Method in class com.amazonaws.services.sagemaker.model.InferenceExecutionConfig
-
How containers in a multi-container are run.
- withMode(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The method that Autopilot uses to train the data.
- withMode(AutoMLMode) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The method that Autopilot uses to train the data.
- withModel(Model) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
A model displayed in the Model Dashboard.
- withModel(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The name of the model.
- withModel(ModelStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model that was created by this step execution.
- withModel(ModelDashboardModel) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The approval status of the model.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The approval status of the model.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether the model is approved for deployment.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Whether the model is approved for deployment.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The approval status of the model package.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The approval status of the model package.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages with the specified approval status.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages with the specified approval status.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The approval status of the model.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The approval status of the model.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The approval status of the model.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The approval status of the model.
- withModelApprovalStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The approval status of the model.
- withModelApprovalStatus(ModelApprovalStatus) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The approval status of the model.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelResult
-
The ARN of the model created in SageMaker.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The Amazon Resource Name (ARN) of the model.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The Amazon Resource Name (ARN) of the model.
- withModelArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The Amazon Resource Name (ARN) of the model.
- withModelArtifact(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Simple Storage (S3) URI where model artifacts ares stored.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the
compilation job.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- withModelArtifacts(ModelArtifacts) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Information about the Amazon S3 location that is configured for storing model artifacts.
- withModelBiasAppSpecification(ModelBiasAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Configures the model bias job to run a specified Docker container image.
- withModelBiasAppSpecification(ModelBiasAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Configures the model bias job to run a specified Docker container image.
- withModelBiasBaselineConfig(ModelBiasBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The baseline configuration for a model bias job.
- withModelBiasBaselineConfig(ModelBiasBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The baseline configuration for a model bias job.
- withModelBiasJobInput(ModelBiasJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Inputs for the model bias job.
- withModelBiasJobInput(ModelBiasJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Inputs for the model bias job.
- withModelBiasJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- withModelBiasJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- withModelCacheSetting(String) - Method in class com.amazonaws.services.sagemaker.model.MultiModelConfig
-
Whether to cache models for a multi-model endpoint.
- withModelCacheSetting(ModelCacheSetting) - Method in class com.amazonaws.services.sagemaker.model.MultiModelConfig
-
Whether to cache models for a multi-model endpoint.
- withModelCard(ModelDashboardModelCard) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The model card for a model.
- withModelCard(ModelCard) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
An Amazon SageMaker Model Card that documents details about a machine learning model.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardResult
-
The Amazon Resource Name (ARN) of the successfully created model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The Amazon Resource Name (ARN) of the model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The Amazon Resource Name (ARN) of the model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The Amazon Resource Name (ARN) of the model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The Amazon Resource Name (ARN) of the model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The Amazon Resource Name (ARN) for a model card.
- withModelCardArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardResult
-
The Amazon Resource Name (ARN) of the updated model card.
- withModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- withModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobRequest
-
The Amazon Resource Name (ARN) of the model card export job to describe.
- withModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The Amazon Resource Name (ARN) of the model card export job.
- withModelCardExportJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The Amazon Resource Name (ARN) of the model card export job.
- withModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name of the model card export job.
- withModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name of the model card export job to describe.
- withModelCardExportJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card export job.
- withModelCardExportJobNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with names that contain the specified string.
- withModelCardExportJobSummaries(ModelCardExportJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
The summaries of the listed model card export jobs.
- withModelCardExportJobSummaries(Collection<ModelCardExportJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
The summaries of the listed model card export jobs.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The name or Amazon Resource Name (ARN) of the model card to export.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The unique name of the model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelCardRequest
-
The name of the model card to delete.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The name or Amazon Resource Name (ARN) of the model card that the model export job exports.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to describe.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The name of the model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified name.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
List model card versions for the model card with the specified name or Amazon Resource Name (ARN).
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name of the model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The name of the model card that the export job exports.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The name of the model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The name of the model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The name of a model card.
- withModelCardName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The name or Amazon Resource Name (ARN) of the model card to update.
- withModelCardProcessingStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The processing status of model card deletion.
- withModelCardProcessingStatus(ModelCardProcessingStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The processing status of model card deletion.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The approval status of the model card within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
The approval status of the model card within your organization.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The approval status of the model card within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The approval status of the model card within your organization.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with the specified approval status.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with the specified approval status.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions with the specified approval status.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Only list model card versions with the specified approval status.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The approval status of the model card within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The approval status of the model card within your organization.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The approval status of the model card within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelCardSummary
-
The approval status of the model card within your organization.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The approval status of the model card version within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
The approval status of the model card version within your organization.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card status.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card status.
- withModelCardStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The approval status of the model card within your organization.
- withModelCardStatus(ModelCardStatus) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelCardRequest
-
The approval status of the model card within your organization.
- withModelCardSummaries(ModelCardSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
The summaries of the listed model cards.
- withModelCardSummaries(Collection<ModelCardSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
The summaries of the listed model cards.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The version of the model card to export.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The version of the model card that the model export job exports.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardRequest
-
The version of the model card to describe.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The version of the model card.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
List export jobs for the model card with the specified version.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The version of the model card.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The version of the model card that the export job exports.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelCardVersionSummary
-
A version of the model card.
- withModelCardVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The model card version.
- withModelCardVersionSummaryList(ModelCardVersionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
The summaries of the listed versions of the model card.
- withModelCardVersionSummaryList(Collection<ModelCardVersionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
The summaries of the listed versions of the model card.
- withModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Configures the timeout and maximum number of retries for processing a transform job invocation.
- withModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The timeout and maximum number of retries for processing a transform job invocation.
- withModelClientConfig(ModelClientConfig) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withModelConfigs(EdgeDeploymentModelConfig...) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of models associated with the edge deployment plan.
- withModelConfigs(Collection<EdgeDeploymentModelConfig>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of models associated with the edge deployment plan.
- withModelConfigs(EdgeDeploymentModelConfig...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of models associated with the edge deployment plan.
- withModelConfigs(Collection<EdgeDeploymentModelConfig>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of models associated with the edge deployment plan.
- withModelConfiguration(ModelConfiguration) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
Defines the model configuration.
- withModelConfiguration(ModelConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInferenceBenchmark
-
- withModelDashboardIndicator(ModelDashboardIndicatorAction) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertActions
-
An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert
status.
- withModelDataDownloadTimeoutInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the
individual inference instance associated with this production variant.
- withModelDataQuality(DriftCheckModelDataQuality) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model data quality baselines that can be used when the model monitor is set using the
model package.
- withModelDataQuality(ModelDataQuality) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of the input data for a model.
- withModelDataSource(ModelDataSource) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies the location of ML model data to deploy.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLContainerDefinition
-
The location of the model artifacts.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The S3 path where the model artifacts, which result from model training, are stored.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- withModelDataUrl(String) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithm
-
The Amazon S3 path where the model artifacts, which result from model training, are stored.
- withModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- withModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- withModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- withModelDeployConfig(ModelDeployConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed
automatically.
- withModelDeployResult(ModelDeployResult) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Provides information about endpoint for the model deployment.
- withModelDeployResult(ModelDeployResult) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Provides information about endpoint for the model deployment.
- withModelDigests(ModelDigests) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
- withModelExplainabilityAppSpecification(ModelExplainabilityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Configures the model explainability job to run a specified Docker container image.
- withModelExplainabilityAppSpecification(ModelExplainabilityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Configures the model explainability job to run a specified Docker container image.
- withModelExplainabilityBaselineConfig(ModelExplainabilityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The baseline configuration for a model explainability job.
- withModelExplainabilityBaselineConfig(ModelExplainabilityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The baseline configuration for a model explainability job.
- withModelExplainabilityJobInput(ModelExplainabilityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Inputs for the model explainability job.
- withModelExplainabilityJobInput(ModelExplainabilityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Inputs for the model explainability job.
- withModelExplainabilityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- withModelExplainabilityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- withModelHandle(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentModelConfig
-
The name the device application uses to reference this model.
- withModelId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The unique name (ID) of the model.
- withModelId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
For models created in SageMaker, this is the model ARN.
- withModelInput(ModelInput) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
A structure with Model Input details.
- withModelInsights(String) - Method in class com.amazonaws.services.sagemaker.model.CandidateArtifactLocations
-
The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
- withModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.InferenceMetrics
-
The expected model latency at maximum invocations per minute for the instance.
- withModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The expected model latency at maximum invocation per minute for the instance.
- withModelLatency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicyMetric
-
The interval of time taken by a model to respond as viewed from SageMaker.
- withModelLatencyThresholds(ModelLatencyThreshold...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The interval of time taken by a model to respond as viewed from SageMaker.
- withModelLatencyThresholds(Collection<ModelLatencyThreshold>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobStoppingConditions
-
The interval of time taken by a model to respond as viewed from SageMaker.
- withModelMetadataSummaries(ModelMetadataSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A structure that holds model metadata.
- withModelMetadataSummaries(Collection<ModelMetadataSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A structure that holds model metadata.
- withModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A structure that contains model metrics reports.
- withModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Metrics for the model.
- withModelMetrics(ModelMetrics) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Metrics for the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The name of the new model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the model that you want to use for the transform job.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelRequest
-
The name of the model to delete.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelRequest
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
Name of the SageMaker model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the model used in the transform job.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The name of the created model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
A filter that searches devices that contains this name in any of their models.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.Model
-
The name of the model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelSummary
-
The name of the model that you want a summary for.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the Amazon SageMaker Model entity.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the Amazon SageMaker Model entity.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the model that you want to host.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The name of the created model.
- withModelName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the model associated with the transform job.
- withModelNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs where the model name contains this string.
- withModelNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this model.
- withModelPackage(ModelPackage) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageResult
-
The Amazon Resource Name (ARN) of the new model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageRequest
-
The Amazon Resource Name (ARN) of the model package.
- withModelPackageArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateModelPackageResult
-
The Amazon Resource Name (ARN) of the model.
- withModelPackageArnList(String...) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageRequest
-
The list of Amazon Resource Name (ARN) of the model package groups.
- withModelPackageArnList(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageRequest
-
The list of Amazon Resource Name (ARN) of the model package groups.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The description of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A description of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
A brief summary of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The description of the model package.
- withModelPackageDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
A brief description of the model package.
- withModelPackageGroup(ModelPackageGroup) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- withModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The Amazon Resource Name (ARN) of the model group.
- withModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The Amazon Resource Name (ARN) of the model group.
- withModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The Amazon Resource Name (ARN) of the model group.
- withModelPackageGroupArn(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyResult
-
The Amazon Resource Name (ARN) of the model package group.
- withModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A description for the model group.
- withModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
A description of the model group.
- withModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The description for the model group.
- withModelPackageGroupDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
A description of the model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The group name for the model package
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The model package group name.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
The name of the model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupPolicyRequest
-
The name of the model group for which to delete the policy.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageGroupRequest
-
The name of the model group to delete.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupRequest
-
The name of gthe model group to describe.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The name of the model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
If the model is a versioned model, the name of the model group that the versioned model belongs to.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyRequest
-
The name of the model group for which to get the resource policy.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only model versions that belong to the specified model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The model package group that contains the model package.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The model group to which the model belongs.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The name of the model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The name of the model group.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the model group that the versioned model belongs to.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The name of the model group to add a resource policy to.
- withModelPackageGroupName(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The model package group name.
- withModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The status of the model group.
- withModelPackageGroupStatus(ModelPackageGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageGroupResult
-
The status of the model group.
- withModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The status of the model group.
- withModelPackageGroupStatus(ModelPackageGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
The status of the model group.
- withModelPackageGroupStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The status of the model group.
- withModelPackageGroupStatus(ModelPackageGroupStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroupSummary
-
The status of the model group.
- withModelPackageGroupSummaryList(ModelPackageGroupSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
A list of summaries of the model groups in your Amazon Web Services account.
- withModelPackageGroupSummaryList(Collection<ModelPackageGroupSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
A list of summaries of the model groups in your Amazon Web Services account.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The name of the model package.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to delete.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageRequest
-
The name or Amazon Resource Name (ARN) of the model package to describe.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The name of the model package being described.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The name of the model.
- withModelPackageName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The name of the model package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The status of the mortgage package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The status of the mortgage package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The current status of the model package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The status of the model package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The status of the model package.
- withModelPackageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- withModelPackageStatus(ModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
The overall status of the model package.
- withModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the current status of the model package.
- withModelPackageStatusDetails(ModelPackageStatusDetails) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies the validation and image scan statuses of the model package.
- withModelPackageSummaries(Map<String, BatchDescribeModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageResult
-
The summaries for the model package versions
- withModelPackageSummaryList(ModelPackageSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- withModelPackageSummaryList(Collection<ModelPackageSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
An array of ModelPackageSummary objects, each of which lists a model package.
- withModelPackageType(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages of the specified type.
- withModelPackageType(ModelPackageType) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A filter that returns only the model packages of the specified type.
- withModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.BatchDescribeModelPackageSummary
-
The version number of a versioned model.
- withModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The version of the model package.
- withModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The version number of a versioned model.
- withModelPackageVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageSummary
-
If the model package is a versioned model, the version of the model.
- withModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of a versioned model package.
- withModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you
initiated a compilation job.
- withModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of a versioned model package.
- withModelPackageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a versioned model package.
- withModelPackageVersionArnEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that returns only jobs that were created for this versioned model package.
- withModelQuality(DriftCheckModelQuality) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBaselines
-
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
- withModelQuality(ModelQuality) - Method in class com.amazonaws.services.sagemaker.model.ModelMetrics
-
Metrics that measure the quality of a model.
- withModelQualityAppSpecification(ModelQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The container that runs the monitoring job.
- withModelQualityAppSpecification(ModelQualityAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Configures the model quality job to run a specified Docker container image.
- withModelQualityBaselineConfig(ModelQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the constraints and baselines for the monitoring job.
- withModelQualityBaselineConfig(ModelQualityBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The baseline configuration for a model quality job.
- withModelQualityJobInput(ModelQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
A list of the inputs that are monitored.
- withModelQualityJobInput(ModelQualityJobInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Inputs for the model quality job.
- withModelQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- withModelQualityJobOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- withModelRegisterSettings(ModelRegisterSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The model registry settings for the SageMaker Canvas application.
- withModels(EdgeModel...) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Models on the device.
- withModels(Collection<EdgeModel>) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
Models on the device.
- withModels(EdgeModelSummary...) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Models on the device.
- withModels(Collection<EdgeModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
Models on the device.
- withModels(ModelSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- withModels(Collection<ModelSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
An array of ModelSummary objects, each of which lists a model.
- withModelSetupTime(Integer) - Method in class com.amazonaws.services.sagemaker.model.RecommendationMetrics
-
The time it takes to launch new compute resources for a serverless endpoint.
- withModelSignature(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The signature document of files in the model artifact.
- withModelStats(EdgeModelStat...) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of model on device.
- withModelStats(Collection<EdgeModelStat>) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Status of model on device.
- withModelVariantActions(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
Array of key-value pairs, with names of variants mapped to actions.
- withModelVariants(ModelVariantConfig...) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withModelVariants(ModelVariantConfigSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
An array of ModelVariantConfigSummary objects.
- withModelVariants(Collection<ModelVariantConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
An array of ModelVariantConfigSummary objects.
- withModelVariants(ModelVariantConfig...) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withModelVariants(Collection<ModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
An array of ModelVariantConfig objects.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The version of the model.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The version of the model.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModel
-
The model version.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The model version.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelSummary
-
The version model.
- withModelVersion(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePackagingJobSummary
-
The version of the model.
- withModifiedAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) after the last modified date.
- withModifiedBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) before the last modified date.
- withModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or after the specified time.
- withModifiedTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified after the specified time.
- withModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs modified on or before the specified time.
- withModifiedTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A filter that returns only Lifecycle Configurations modified before the specified time.
- withMonitoringAlertHistory(MonitoringAlertHistorySummary...) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
An alert history for a model monitoring schedule.
- withMonitoringAlertHistory(Collection<MonitoringAlertHistorySummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
An alert history for a model monitoring schedule.
- withMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring alert.
- withMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring alert.
- withMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertSummary
-
The name of a monitoring alert.
- withMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring alert.
- withMonitoringAlertName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The name of a monitoring alert.
- withMonitoringAlertSummaries(MonitoringAlertSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
A JSON array where each element is a summary for a monitoring alert.
- withMonitoringAlertSummaries(Collection<MonitoringAlertSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
A JSON array where each element is a summary for a monitoring alert.
- withMonitoringAlertSummaries(MonitoringAlertSummary...) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A JSON array where each element is a summary for a monitoring alert.
- withMonitoringAlertSummaries(Collection<MonitoringAlertSummary>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
A JSON array where each element is a summary for a monitoring alert.
- withMonitoringAppSpecification(MonitoringAppSpecification) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Configures the monitoring job to run a specified Docker container image.
- withMonitoringExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The status of the monitoring job.
- withMonitoringExecutionStatus(ExecutionStatus) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The status of the monitoring job.
- withMonitoringExecutionSummaries(MonitoringExecutionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
A JSON array in which each element is a summary for a monitoring execution.
- withMonitoringExecutionSummaries(Collection<MonitoringExecutionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
A JSON array in which each element is a summary for a monitoring execution.
- withMonitoringInputs(MonitoringInput...) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of inputs for the monitoring job.
- withMonitoringInputs(Collection<MonitoringInput>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of inputs for the monitoring job.
- withMonitoringJobDefinition(MonitoringJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Defines the monitoring job.
- withMonitoringJobDefinitionArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Gets a list of the monitoring job runs of the specified monitoring job definitions.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Gets a list of the monitoring schedules for the specified monitoring job definition.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring job.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinitionSummary
-
The name of the monitoring job.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The name of the monitoring job definition to schedule.
- withMonitoringJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring job definition that the schedule is for.
- withMonitoringOutputConfig(MonitoringOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
- withMonitoringOutputs(MonitoringOutput...) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
Monitoring outputs for monitoring jobs.
- withMonitoringOutputs(Collection<MonitoringOutput>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutputConfig
-
Monitoring outputs for monitoring jobs.
- withMonitoringResources(MonitoringResources) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The Amazon Resource Name (ARN) of a monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of a monitoring schedule for an endpoint associated with this processing job.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleResult
-
The Amazon Resource Name (ARN) of the monitoring schedule.
- withMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- withMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- withMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
- withMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
- withMonitoringScheduleConfig(MonitoringScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteMonitoringScheduleRequest
-
The name of the monitoring schedule to delete.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleRequest
-
Name of a previously created monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
Name of the monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The name of a monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
The name of a monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Name of a specific schedule to fetch jobs for.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The name of a monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAlertHistorySummary
-
The name of a monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The name of the monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The name of the monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The name of the monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.StartMonitoringScheduleRequest
-
The name of the schedule to start.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.StopMonitoringScheduleRequest
-
The name of the schedule to stop.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringAlertRequest
-
The name of a monitoring schedule.
- withMonitoringScheduleName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateMonitoringScheduleRequest
-
The name of the monitoring schedule.
- withMonitoringSchedules(MonitoringSchedule...) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of monitoring schedules for the endpoint.
- withMonitoringSchedules(Collection<MonitoringSchedule>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of monitoring schedules for the endpoint.
- withMonitoringSchedules(ModelDashboardMonitoringSchedule...) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The monitoring schedules for a model.
- withMonitoringSchedules(Collection<ModelDashboardMonitoringSchedule>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModel
-
The monitoring schedules for a model.
- withMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The status of an monitoring job.
- withMonitoringScheduleStatus(ScheduleStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The status of an monitoring job.
- withMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The status of the monitoring schedule.
- withMonitoringScheduleStatus(ScheduleStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The status of the monitoring schedule.
- withMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The status of the monitoring schedule.
- withMonitoringScheduleStatus(ScheduleStatus) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The status of the monitoring schedule.
- withMonitoringScheduleStatus(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The status of the monitoring schedule.
- withMonitoringScheduleStatus(ScheduleStatus) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The status of the monitoring schedule.
- withMonitoringScheduleSummaries(MonitoringScheduleSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
A JSON array in which each element is a summary for a monitoring schedule.
- withMonitoringScheduleSummaries(Collection<MonitoringScheduleSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
A JSON array in which each element is a summary for a monitoring schedule.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The type of the monitoring job that this schedule runs.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.DescribeMonitoringScheduleResult
-
The type of the monitoring job that this schedule runs.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The monitor type of a model monitor.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardMonitoringSchedule
-
The monitor type of a model monitor.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The type of the monitoring job.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The type of the monitoring job.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The type of the monitoring job definition to schedule.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
The type of the monitoring job definition to schedule.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The type of the monitoring job definition to schedule.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
The type of the monitoring job definition to schedule.
- withMonitoringType(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The type of the monitoring job definition that the schedule is for.
- withMonitoringType(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleSummary
-
The type of the monitoring job definition that the schedule is for.
- withMonitoringTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only the monitoring job runs of the specified monitoring type.
- withMonitoringTypeEquals(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that returns only the monitoring job runs of the specified monitoring type.
- withMonitoringTypeEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only the monitoring schedules for the specified monitoring type.
- withMonitoringTypeEquals(MonitoringType) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only the monitoring schedules for the specified monitoring type.
- withMountPath(String) - Method in class com.amazonaws.services.sagemaker.model.FileSystemConfig
-
The path within the image to mount the user's EFS home directory.
- withMultiModelConfig(MultiModelConfig) - Method in class com.amazonaws.services.sagemaker.model.ContainerDefinition
-
Specifies additional configuration for multi-model endpoints.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A unique name to identify the additional inference specification.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The name of the algorithm for which the overall status is being reported.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
The name of the hyperparameter to optimize using Autotune.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The Name of the environment variable.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
The name of the categorical hyperparameter to tune.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The name of the channel.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The name of the continuous hyperparameter to tune.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The name for the inference experiment.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteInferenceExperimentRequest
-
The name of the inference experiment you want to delete.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentRequest
-
The name of the inference experiment to describe.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The name of the inference experiment.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A resource property name.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The name of this hyperparameter.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The name of the inference experiment.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The name of the hyperparameter to search.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.KernelSpec
-
The name of the Jupyter kernel in the image.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
The name of the metric.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The name of the of the model to filter by.
- withName(ModelMetadataFilterType) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The name of the of the model to filter by.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The name of the model package for which the overall status is being reported.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The name of the output parameter.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The name of the parameter to assign a value to.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.StartInferenceExperimentRequest
-
The name of the inference experiment to start.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The name of the inference experiment to stop.
- withName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The name of the inference experiment to be updated.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
A string in the algorithm name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
A filter that returns only AppImageConfigs whose name contains the specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a search filter for name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
A string in the Git repositories name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that returns the model compilation jobs whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
A string in the data quality monitoring job definition name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
Filter for fleets containing this name in their fleet device name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
Selects edge deployment plans with names containing this name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Filter for jobs containing this name in their packaging job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
A string in the endpoint configuration name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A string in endpoint names.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A string that partially matches one or more FeatureGroups names.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Only list hub content if the name contains the specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Only list hubs with names that contain the specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A string in the tuning job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
A filter that returns only images whose name contains the specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments whose names contain this name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A string in the job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A string in the labeling job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Filter for model bias jobs whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Only list model cards with names that contain the specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Filter for model explainability jobs whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
A string in the model group name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
A string in the model package name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
A string in the transform job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
A string in the model name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Filter for monitoring schedules whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
A string in the lifecycle configuration name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the notebook instances' name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A string in the processing job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
A filter that returns the projects whose name contains a specified string.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A string that partially matches one or more ResourceCatalogs names.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
A string in the Lifecycle Configuration name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
A string in the work team name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A string in the training job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A string in the transform job name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A filter you can use to search for workforces using part of the workforce name.
- withNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
A string in the work team's name.
- withNamespace(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The namespace of the customized metric.
- withNearestModelName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that
matches your model.
- withNearestModelName(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
matches your model.
- withNestedFilters(NestedFilters...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- withNestedFilters(Collection<NestedFilters>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of nested filter objects.
- withNestedPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.NestedFilters
-
The name of the property to use in the nested filters.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
Specifies networking configuration for the monitoring job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
Networking options for a model bias job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
Networking options for a model explainability job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
Specifies the network configuration for the monitoring job.
- withNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from
processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The networking configuration for the data quality monitoring job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
Networking options for a model bias job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
Networking options for a model explainability job.
- withNetworkConfig(MonitoringNetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
Networking options for a model quality job.
- withNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Networking options for a processing job.
- withNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies networking options for an monitoring job.
- withNetworkConfig(NetworkConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withNetworkInterfaceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The network interface IDs that SageMaker created at the time of creating the instance.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceRequest
-
Next token of device description.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanRequest
-
If the edge deployment plan has enough stages to require tokening, then this is the response from the last list
of stages returned.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
Token to use when calling the next set of stages in the edge deployment plan.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupRequest
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
A token to resume pagination of the list of Features (FeatureDefinitions).
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
If the previous call to ListActions didn't return the full set of actions, the call returns a token
for getting the next set of actions.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsResult
-
A token for getting the next set of actions, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
If the response to a previous ListAlgorithms request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
If the previous call to ListAliases didn't return the full set of aliases, the call returns a token
for retrieving the next set of aliases.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A token for getting the next set of aliases, if more aliases exist.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
If the previous call to ListImages didn't return the full set of AppImageConfigs, the call returns a
token for getting the next set of AppImageConfigs.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsResult
-
A token for getting the next set of AppImageConfigs, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsResult
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
If the previous call to ListArtifacts didn't return the full set of artifacts, the call returns a
token for getting the next set of artifacts.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsResult
-
A token for getting the next set of artifacts, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
If the previous call to ListAssociations didn't return the full set of associations, the call
returns a token for getting the next set of associations.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsResult
-
A token for getting the next set of associations, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
If the previous response was truncated, you receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsResult
-
If the previous response was truncated, you receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
If the previous response was truncated, you receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobResult
-
If the previous response was truncated, you receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesResult
-
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsResult
-
If the response is truncated, Amazon SageMaker returns this NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
If the previous call to ListContexts didn't return the full set of contexts, the call returns a
token for getting the next set of contexts.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsResult
-
A token for getting the next set of contexts, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsResult
-
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsResult
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesRequest
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDevicesResult
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsRequest
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListDomainsResult
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansResult
-
The token to use when calling the next page of results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsResult
-
Token to use when calling the next page of results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
If the result of the previous ListEndpointConfig request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
If the result of a ListEndpoints request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
If the previous call to ListExperiments didn't return the full set of experiments, the call returns
a token for getting the next set of experiments.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsResult
-
A token for getting the next set of experiments, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
A token to resume pagination of ListFeatureGroups results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsResult
-
A token to resume pagination of ListFeatureGroups results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsResult
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
If the response to a previous ListHubContents request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
If the response to a previous ListHubContentVersions request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
If the response to a previous ListHubs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisResult
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
If the result of the previous ListHyperParameterTuningJobs request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsResult
-
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
If the previous call to ListImages didn't return the full set of images, the call returns a token
for getting the next set of images.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesResult
-
A token for getting the next set of images, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
If the previous call to ListImageVersions didn't return the full set of versions, the call returns a
token for getting the next set of versions.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsResult
-
A token for getting the next set of versions, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The response from the last list when returning a list large enough to need tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsResult
-
The token to use when calling the next page of results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the
response includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsResult
-
A token for getting the next set of recommendations, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A token that you can specify to return more results from the list.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A token that you can specify in your next request to return more results from the list.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
If the result of the previous ListLabelingJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
The token returned if the response is truncated.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
If the response to a previous ListModelCardExportJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
If the response to a previous ListModelCards request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
If the response to a previous ListModelCardVersions request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
The token returned if the response is truncated.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
If the response to a previous ListModelMetadataResponse request was truncated, the response includes
a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataResult
-
A token for getting the next set of recommendations, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
If the result of the previous ListModelPackageGroups request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
If the response to a previous ListModelPackages request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
If the result of the previous ListModelQualityJobDefinitions request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
If the response to a previous ListModels request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
If the result of the previous ListMonitoringAlertHistory request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsRequest
-
If the result of the previous ListMonitoringAlerts request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
The token returned if the response is truncated.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
The token returned if the response is truncated.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes
a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
If the previous call to the ListNotebookInstances is truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
If the response to the previous ListNotebookInstances request was truncated, SageMaker returns this
token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
If the result of the previous ListPipelineExecutions request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
If the result of the previous ListPipelineExecutionSteps request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
If the result of the previous ListPipelineParametersForExecution request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
If the result of the previous ListPipelines request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
If the result of the previous ListProcessingJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
If the result of the previous ListProjects request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
If the result of the previous ListCompilationJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
A token to resume pagination of ListResourceCatalogs results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A token to resume pagination of ListResourceCatalogs results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The response from the last list when returning a list large enough to neeed tokening.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesResult
-
The token to use when calling the next page of results.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
If the previous call to ListStudioLifecycleConfigs didn't return the full set of Lifecycle Configurations, the
call returns a token for getting the next set of Lifecycle Configurations.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsRequest
-
If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
If the response to the previous ListTags request is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
If response is truncated, SageMaker includes a token in the response.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the
response includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
If the result of the previous ListTrainingJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
If the response is truncated, SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
If the result of the previous ListTransformJobs request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
If the previous call to ListTrialComponents didn't return the full set of components, the call
returns a token for getting the next set of components.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A token for getting the next set of components, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
If the previous call to ListTrials didn't return the full set of trials, the call returns a token
for getting the next set of trials.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A token for getting the next set of trials, if there are any.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
If the previous response was truncated, you will receive this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A token to resume pagination.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
If the result of the previous ListWorkteams request was truncated, the response includes a
NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
If the response is truncated, Amazon SageMaker returns this token.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
Limits the number of vertices in the request.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
Limits the number of vertices in the response.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
If more than MaxResults resources match the specified SearchExpression, the response
includes a NextToken.
- withNextToken(String) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
If the result of the previous Search request was truncated, the response includes a NextToken.
- withNonRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed and can't be retried.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The Amazon Resource Name (ARN) of the notebook instance.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The Amazon Resource Name (ARN) of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to delete.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration to describe.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Returns the name of a notebook instance lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceLifecycleConfigSummary
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of a notebook instance lifecycle configuration associated with this notebook instance.
- withNotebookInstanceLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The name of the lifecycle configuration.
- withNotebookInstanceLifecycleConfigNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A string in the name of a notebook instances lifecycle configuration associated with this notebook instance.
- withNotebookInstanceLifecycleConfigs(NotebookInstanceLifecycleConfigSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- withNotebookInstanceLifecycleConfigs(Collection<NotebookInstanceLifecycleConfigSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResult
-
An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The name of the new notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The name of the notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteNotebookInstanceRequest
-
The name of the SageMaker notebook instance to delete.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceRequest
-
The name of the notebook instance that you want information about.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The name of the SageMaker notebook instance.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The name of the notebook instance that you want a summary for.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StartNotebookInstanceRequest
-
The name of the notebook instance to start.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.StopNotebookInstanceRequest
-
The name of the notebook instance to terminate.
- withNotebookInstanceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The name of the notebook instance to update.
- withNotebookInstances(NotebookInstanceSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- withNotebookInstances(Collection<NotebookInstanceSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesResult
-
An array of NotebookInstanceSummary objects, one for each notebook instance.
- withNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- withNotebookInstanceStatus(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The status of the notebook instance.
- withNotebookInstanceStatus(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- withNotebookInstanceStatus(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The status of the notebook instance.
- withNotebookOutputOption(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
Whether to include the notebook cell output when sharing the notebook.
- withNotebookOutputOption(NotebookOutputOption) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
Whether to include the notebook cell output when sharing the notebook.
- withNotificationConfig(AsyncInferenceNotificationConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
Specifies the configuration for notifications of inference results for asynchronous inference.
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
Configures notification of workers regarding available or expiring work items.
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
Configures SNS topic notifications for available or expiring work items
- withNotificationConfiguration(NotificationConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
Configures SNS notifications of available or expiring work items for work teams.
- withNotificationTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.NotificationConfiguration
-
The ARN for the Amazon SNS topic to which notifications should be published.
- withNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The number of human workers that will label an object.
- withNumberOfHumanWorkersPerDataObject(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The configured number of workers per data object.
- withNumberOfSamples(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The number of samples to be used for analysis by the Kernal SHAP algorithm.
- withNumberOfSteps(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many steps to perform during traffic.
- withNumberOfTrainingJobsObjectiveNotImproving(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobCompletionDetails
-
The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model
performance evaluated against an objective function.
- withNumberValue(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The numeric value of a numeric hyperparameter.
- withObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The objective's status.
- withObjectiveStatus(ObjectiveStatus) - Method in class com.amazonaws.services.sagemaker.model.AutoMLCandidate
-
The objective's status.
- withObjectiveStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- withObjectiveStatus(ObjectiveStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the objective metric for the training job:
- withObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their
final objective metric, that this tuning job launched.
- withObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withObjectiveStatusCounters(ObjectiveStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric
status, that this tuning job launched.
- withObjectKey(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
The object key (or key name) uniquely identifies the object in an S3 bucket.
- withOfflineDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices that have this model version and do not have a heart beat.
- withOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Use this to configure an OfflineFeatureStore.
- withOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration of the offline store.
- withOfflineStoreConfig(OfflineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- withOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The status of the OfflineStore.
- withOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- withOfflineStoreStatus(OfflineStoreStatus) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroupSummary
-
Notifies you if replicating data into the OfflineStore has failed.
- withOfflineStoreStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
An OfflineStore status.
- withOfflineStoreStatusEquals(OfflineStoreStatusValue) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
An OfflineStore status.
- withOidcConfig(OidcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a private workforce using your own OIDC Identity Provider.
- withOidcConfig(OidcConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own
IdP.
- withOidcConfig(OidcConfigForResponse) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of an OIDC Identity Provider (IdP) private workforce.
- withOidcMemberDefinition(OidcMemberDefinition) - Method in class com.amazonaws.services.sagemaker.model.MemberDefinition
-
A list user groups that exist in your OIDC Identity Provider (IdP).
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs only once, when you create a notebook instance.
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs only once, when you create a notebook instance.
- withOnCreate(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance.
- withOnCreate(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs only once, when you create a notebook instance.
- withOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
You can turn the OnlineStore on or off by specifying True for the
EnableOnlineStore flag in OnlineStoreConfig.
- withOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The configuration for the OnlineStore.
- withOnlineStoreConfig(OnlineStoreConfig) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
- withOnlineStoreConfig(OnlineStoreConfigUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureGroupRequest
-
Updates the feature group online store configuration.
- withOnlineStoreTotalSizeBytes(Long) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The size of the OnlineStore in bytes.
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceLifecycleConfigRequest
-
A shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceLifecycleConfigResult
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(NotebookInstanceLifecycleHook...) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOnStart(Collection<NotebookInstanceLifecycleHook>) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceLifecycleConfigRequest
-
The shell script that runs every time you start a notebook instance, including when you create the notebook
instance.
- withOperator(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- withOperator(Operator) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A Boolean binary operator that is used to evaluate the filter.
- withOperator(String) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- withOperator(BooleanOperator) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A Boolean operator used to evaluate the search expression.
- withOs(String) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform OS.
- withOs(TargetPlatformOs) - Method in class com.amazonaws.services.sagemaker.model.TargetPlatform
-
Specifies a target platform OS.
- withOutcome(String) - Method in class com.amazonaws.services.sagemaker.model.ConditionStepMetadata
-
The outcome of the Condition step evaluation.
- withOutcome(ConditionOutcome) - Method in class com.amazonaws.services.sagemaker.model.ConditionStepMetadata
-
The outcome of the Condition step evaluation.
- withOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The output artifacts for the component.
- withOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The output artifacts of the component.
- withOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The output artifacts of the component.
- withOutputArtifacts(Map<String, TrialComponentArtifact>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's output artifacts with the specified artifacts or adds new output artifacts.
- withOutputArtifactsToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The output artifacts to remove from the component.
- withOutputArtifactsToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The output artifacts to remove from the component.
- withOutputCompression(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withOutputCompression(AthenaResultCompressionType) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withOutputCompression(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withOutputCompression(RedshiftResultCompressionType) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withOutputConfig(AsyncInferenceOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceConfig
-
Specifies the configuration for asynchronous inference invocation outputs.
- withOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Provides information about the output location for the compiled model and the target device the model runs on.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The output configuration for storing sample data collected by the fleet.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Provides information about the output location for the packaged model.
- withOutputConfig(FlowDefinitionOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An object containing information about where the human review results will be uploaded.
- withOutputConfig(RecommendationJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
- withOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to
encrypt the output data, if any.
- withOutputConfig(ModelCardExportOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardExportJobRequest
-
The model card output configuration that specifies the Amazon S3 path for exporting.
- withOutputConfig(OutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Information about the output location for the compiled model and the target device that the model runs on.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The output configuration for storing sampled data.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output configuration for the edge packaging job.
- withOutputConfig(FlowDefinitionOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
An object containing information about the output file.
- withOutputConfig(LabelingJobOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used
to encrypt the output data, if any.
- withOutputConfig(ModelCardExportOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The export output details for the model card.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
The output configuration for storing sample data collected by the fleet.
- withOutputConfig(EdgeOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
Output configuration for storing sample data collected by the fleet.
- withOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- withOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies the path to the S3 location where you want to store model artifacts.
- withOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's output data config.
- withOutputDataConfig(AutoMLOutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the job's output data config.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The S3 path where model artifacts that you configured when creating the job are stored.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning
job launches.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The S3 path where model artifacts that you configured when creating the job are stored.
- withOutputDataConfig(OutputDataConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
the path to the S3 bucket where you want to store model artifacts.
- withOutputDatasetS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutput
-
The Amazon S3 bucket location of the manifest file for labeled data.
- withOutputFilter(String) - Method in class com.amazonaws.services.sagemaker.model.DataProcessing
-
A
JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch
transform job.
- withOutputFormat(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withOutputFormat(AthenaResultFormat) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withOutputFormat(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withOutputFormat(RedshiftResultFormat) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withOutputName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
The name for the processing job output.
- withOutputParameters(OutputParameter...) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
A list of the output parameters of the callback step.
- withOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
A list of the output parameters of the callback step.
- withOutputParameters(OutputParameter...) - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
A list of the output parameters of the Lambda step.
- withOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.LambdaStepMetadata
-
A list of the output parameters of the Lambda step.
- withOutputParameters(OutputParameter...) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A list of the output parameters of the callback step.
- withOutputParameters(Collection<OutputParameter>) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessRequest
-
A list of the output parameters of the callback step.
- withOutputs(ProcessingOutput...) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
An array of outputs configuring the data to upload from the processing container.
- withOutputs(Collection<ProcessingOutput>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutputConfig
-
An array of outputs configuring the data to upload from the processing container.
- withOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
The location in Amazon S3 where Athena query results are stored.
- withOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
The location in Amazon S3 where the Redshift query results are stored.
- withOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType of
IDENTICAL_DATA_AND_ALGORITHM, this is the
TrainingJobSummary for the training job with the best objective metric value of all training jobs launched
by this tuning job and all parent jobs specified for the warm start tuning job.
- withOverallBestTrainingJob(HyperParameterTrainingJobSummary) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
This is the configuration that controls the parallelism of the pipeline.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The parallelism configuration applied to the pipeline.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
Lists the parallelism configuration applied to the pipeline.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The parallelism configuration applied to the pipeline.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The parallelism configuration applied to the pipeline execution.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this
specific run.
- withParallelismConfiguration(ParallelismConfiguration) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
If specified, it applies to all executions of this pipeline by default.
- withParameterAdditions(FeatureParameter...) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of key-value pairs that you can add to better describe the feature.
- withParameterAdditions(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of key-value pairs that you can add to better describe the feature.
- withParameterRanges(ParameterRanges) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ParameterRanges
object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal
configuration for the highest model performance against your chosen objective metric.
- withParameterRemovals(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of parameter keys that you can specify to remove parameters that describe your feature.
- withParameterRemovals(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateFeatureMetadataRequest
-
A list of parameter keys that you can specify to remove parameters that describe your feature.
- withParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The hyperparameters for the component.
- withParameters(FeatureParameter...) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The key-value pairs that you added to describe the feature.
- withParameters(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureMetadataResult
-
The key-value pairs that you added to describe the feature.
- withParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The hyperparameters of the component.
- withParameters(FeatureParameter...) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
Optional key-value pairs that you specify to better describe the feature.
- withParameters(Collection<FeatureParameter>) - Method in class com.amazonaws.services.sagemaker.model.FeatureMetadata
-
Optional key-value pairs that you specify to better describe the feature.
- withParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The hyperparameters of the component.
- withParameters(Map<String, TrialComponentParameterValue>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
Replaces all of the component's hyperparameters with the specified hyperparameters or add new hyperparameters.
- withParametersToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The hyperparameters to remove from the component.
- withParametersToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The hyperparameters to remove from the component.
- withParentHyperParameterTuningJobs(ParentHyperParameterTuningJob...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- withParentHyperParameterTuningJobs(Collection<ParentHyperParameterTuningJob>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job.
- withParents(Parent...) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
An array of the parents of the component.
- withParents(Collection<Parent>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
An array of the parents of the component.
- withParquet(MonitoringParquetDatasetFormat) - Method in class com.amazonaws.services.sagemaker.model.MonitoringDatasetFormat
-
The Parquet dataset used in the monitoring job
- withPartialFailureMessage(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLPartialFailureReason
-
The message containing the reason for a partial failure of an AutoML job.
- withPartialFailureReasons(AutoMLPartialFailureReason...) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The list of reasons for partial failures within an AutoML job.
- withPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobSummary
-
The list of reasons for partial failures within an AutoML job.
- withPartialFailureReasons(AutoMLPartialFailureReason...) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns a list of reasons for partial failures within an AutoML job.
- withPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns a list of reasons for partial failures within an AutoML job.
- withPartialFailureReasons(AutoMLPartialFailureReason...) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns a list of reasons for partial failures within an AutoML job V2.
- withPartialFailureReasons(Collection<AutoMLPartialFailureReason>) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns a list of reasons for partial failures within an AutoML job V2.
- withPathId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The path identifier of the product.
- withPayloadConfig(RecommendationJobPayloadConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
Specifies the SamplePayloadUrl and all other sample payload-related fields.
- withPending(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs that are in progress and pending evaluation of their final objective metric.
- withPendingDeploymentSummary(PendingDeploymentSummary) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
Returns the summary of an in-progress deployment.
- withPendingHuman(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of data objects that need to be labeled by a human worker.
- withPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.DeviceSelectionConfig
-
Percentage of devices in the fleet to deploy to the current stage.
- withPercentile(String) - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile threshold.
- withPhases(Phase...) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the phases traffic specification.
- withPhases(Collection<Phase>) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the phases traffic specification.
- withPipeline(Pipeline) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineResult
-
The Amazon Resource Name (ARN) of the created pipeline.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline to delete.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) of the pipeline.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the pipeline.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline that was executed.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) of the pipeline.
- withPipelineArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineResult
-
The Amazon Resource Name (ARN) of the updated pipeline.
- withPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
- withPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionResult
-
The JSON pipeline definition.
- withPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The JSON pipeline definition.
- withPipelineDefinition(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The JSON pipeline definition.
- withPipelineDefinitionS3Location(PipelineDefinitionS3Location) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- withPipelineDefinitionS3Location(PipelineDefinitionS3Location) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The location of the pipeline definition stored in Amazon S3.
- withPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A description of the pipeline.
- withPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The description of the pipeline.
- withPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The description of the pipeline.
- withPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The description of the pipeline.
- withPipelineDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The description of the pipeline.
- withPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The display name of the pipeline.
- withPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The display name of the pipeline.
- withPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The display name of the pipeline.
- withPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The display name of the pipeline.
- withPipelineDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The display name of the pipeline.
- withPipelineExecution(PipelineExecution) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineDefinitionForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.RetryPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepFailureResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SendPipelineExecutionStepSuccessResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.StopPipelineExecutionResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withPipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionResult
-
The Amazon Resource Name (ARN) of the updated pipeline execution.
- withPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The description of the pipeline execution.
- withPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The description of the pipeline execution.
- withPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The description of the pipeline execution.
- withPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The description of the pipeline execution.
- withPipelineExecutionDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The description of the pipeline execution.
- withPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The display name of the pipeline execution.
- withPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The display name of the pipeline execution.
- withPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The display name of the pipeline execution.
- withPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The display name of the pipeline execution.
- withPipelineExecutionDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineExecutionRequest
-
The display name of the pipeline execution.
- withPipelineExecutionFailureReason(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
A message generated by SageMaker Pipelines describing why the pipeline execution failed.
- withPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The status of the pipeline execution.
- withPipelineExecutionStatus(PipelineExecutionStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The status of the pipeline execution.
- withPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The status of the pipeline status.
- withPipelineExecutionStatus(PipelineExecutionStatus) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The status of the pipeline status.
- withPipelineExecutionStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The status of the pipeline execution.
- withPipelineExecutionStatus(PipelineExecutionStatus) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The status of the pipeline execution.
- withPipelineExecutionSteps(PipelineExecutionStep...) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
A list of PipeLineExecutionStep objects.
- withPipelineExecutionSteps(Collection<PipelineExecutionStep>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsResult
-
A list of PipeLineExecutionStep objects.
- withPipelineExecutionSummaries(PipelineExecutionSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
Contains a sorted list of pipeline execution summary objects matching the specified filters.
- withPipelineExecutionSummaries(Collection<PipelineExecutionSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsResult
-
Contains a sorted list of pipeline execution summary objects matching the specified filters.
- withPipelineExperimentConfig(PipelineExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
- withPipelineExperimentConfig(PipelineExperimentConfig) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The name of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DeletePipelineRequest
-
The name of the pipeline to delete.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineRequest
-
The name or Amazon Resource Name (ARN) of the pipeline to describe.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The name of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The name of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The name of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The name or Amazon Resource Name (ARN) of the pipeline.
- withPipelineName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The name of the pipeline to update.
- withPipelineNamePrefix(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The prefix of the pipeline name.
- withPipelineParameters(Parameter...) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
Contains a list of pipeline parameters.
- withPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineParametersForExecutionResult
-
Contains a list of pipeline parameters.
- withPipelineParameters(Parameter...) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
Contains a list of pipeline parameters.
- withPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
Contains a list of pipeline parameters.
- withPipelineParameters(Parameter...) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
Contains a list of pipeline parameters.
- withPipelineParameters(Collection<Parameter>) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
Contains a list of pipeline parameters.
- withPipelineStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The status of the pipeline execution.
- withPipelineStatus(PipelineStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The status of the pipeline execution.
- withPipelineStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The status of the pipeline.
- withPipelineStatus(PipelineStatus) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The status of the pipeline.
- withPipelineSummaries(PipelineSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
Contains a sorted list of PipelineSummary objects matching the specified filters.
- withPipelineSummaries(Collection<PipelineSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesResult
-
Contains a sorted list of PipelineSummary objects matching the specified filters.
- withPlatformIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The platform identifier of the notebook instance runtime environment.
- withPlatformIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The platform identifier of the notebook instance runtime environment.
- withPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- withPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- withPostAnalyticsProcessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called after analysis has been performed.
- withPostTrainingConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The post-training constraints.
- withPostTrainingReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The post-training bias report for a model.
- withPredefined(PredefinedMetricSpecification) - Method in class com.amazonaws.services.sagemaker.model.MetricSpecification
-
Information about a predefined metric.
- withPredefinedMetricType(String) - Method in class com.amazonaws.services.sagemaker.model.PredefinedMetricSpecification
-
The metric type.
- withPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
- withPreHumanTaskLambdaArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of a Lambda function.
- withPresetDeploymentConfig(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The configuration used to create deployment artifacts.
- withPresetDeploymentOutput(EdgePresetDeploymentOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The output of a SageMaker Edge Manager deployable resource.
- withPresetDeploymentType(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The deployment type SageMaker Edge Manager will create.
- withPresetDeploymentType(EdgePresetDeploymentType) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The deployment type SageMaker Edge Manager will create.
- withPreTrainingConstraints(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckBias
-
The pre-training constraints.
- withPreTrainingReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The pre-training bias report for a model.
- withPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
The location of the primary docker image containing inference code, associated artifacts, and custom environment
map that the inference code uses when the model is deployed for predictions.
- withPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
The location of the primary inference code, associated artifacts, and custom environment map that the inference
code uses when it is deployed in production.
- withPrimaryContainer(ContainerDefinition) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- withPrimaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
The status of the trial component.
- withPrimaryStatus(TrialComponentPrimaryStatus) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentStatus
-
The status of the trial component.
- withPrincipalId(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The ID of the principal that assumes the IAM identity.
- withProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
In a classification problem, the attribute that represents the class probability.
- withProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A JMESPath expression used to extract the probability (or score) from the model container output if the model
container is in JSON Lines format.
- withProbabilityAttribute(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
In a classification problem, the attribute that represents the class probability.
- withProbabilityIndex(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig
-
A zero-based index used to extract a probability value (score) or list from model container output in CSV format.
- withProbabilityThresholdAttribute(Double) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
The threshold for the class probability to be evaluated as a positive result.
- withProbabilityThresholdAttribute(Double) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
The threshold for the class probability to be evaluated as a positive result.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Defines the type of supervised learning problem available for the candidates.
- withProblemType(ProblemType) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
Defines the type of supervised learning problem available for the candidates.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's problem type.
- withProblemType(ProblemType) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Returns the job's problem type.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The machine learning problem type of the model that the monitoring job monitors.
- withProblemType(MonitoringProblemType) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
The machine learning problem type of the model that the monitoring job monitors.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
The problem type.
- withProblemType(ProblemType) - Method in class com.amazonaws.services.sagemaker.model.ResolvedAttributes
-
The problem type.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The type of supervised learning problem available for the model candidates of the AutoML job V2.
- withProblemType(ProblemType) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The type of supervised learning problem available for the model candidates of the AutoML job V2.
- withProblemType(String) - Method in class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary
Classification, Multiclass Classification, Regression).
- withProblemType(ProblemType) - Method in class com.amazonaws.services.sagemaker.model.TabularResolvedAttributes
-
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary
Classification, Multiclass Classification, Regression).
- withProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job completed.
- withProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job ended.
- withProcessingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The time at which the processing job completed.
- withProcessingInputs(ProcessingInput...) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
An array of inputs configuring the data to download into the processing container.
- withProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
An array of inputs configuring the data to download into the processing container.
- withProcessingInputs(ProcessingInput...) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The inputs for a processing job.
- withProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The inputs for a processing job.
- withProcessingInputs(ProcessingInput...) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
List of input configurations for the processing job.
- withProcessingInputs(Collection<ProcessingInput>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
List of input configurations for the processing job.
- withProcessingJob(ProcessingJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
- withProcessingJob(ProcessingJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a processing job that's the source of a trial component.
- withProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- withProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of the processing job.
- withProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The Amazon Resource Name (ARN) of the monitoring job.
- withProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the processing job.
- withProcessingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The Amazon Resource Name (ARN) of the processing job..
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The name of the processing job.
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobRequest
-
The name of the processing job.
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The name of the processing job.
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The name of the processing job.
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The name of the processing job.
- withProcessingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopProcessingJobRequest
-
The name of the processing job to stop.
- withProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Provides the status of a processing job.
- withProcessingJobStatus(ProcessingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Provides the status of a processing job.
- withProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The status of the processing job.
- withProcessingJobStatus(ProcessingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The status of the processing job.
- withProcessingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The status of the processing job.
- withProcessingJobStatus(ProcessingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJobSummary
-
The status of the processing job.
- withProcessingJobSummaries(ProcessingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
An array of ProcessingJobSummary objects, each listing a processing job.
- withProcessingJobSummaries(Collection<ProcessingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsResult
-
An array of ProcessingJobSummary objects, each listing a processing job.
- withProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Output configuration for the processing job.
- withProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Output configuration for the processing job.
- withProcessingOutputConfig(ProcessingOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- withProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- withProcessingResources(ProcessingResources) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withProcessingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time at which the processing job started.
- withProcessingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The time that the processing job started.
- withProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- withProcessor(Processor) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- withProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates CPU or GPU compatibility.
- withProcessor(Processor) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
Indicates CPU or GPU compatibility.
- withProcessor(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- withProcessor(Processor) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
Indicates CPU or GPU compatibility.
- withProductId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
The product identifier of the algorithm.
- withProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageContainerDefinition
-
The Amazon Web Services Marketplace product ID of the model package.
- withProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the product to provision.
- withProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
- withProductionVariants(ProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
- withProductionVariants(ProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the production variants hosted on the endpoint.
- withProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the production variants hosted on the endpoint.
- withProductionVariants(PendingProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
- withProductionVariants(Collection<PendingProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
- withProductListingIds(String...) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- withProductListingIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Marketplace identifier for a vendor's work team.
- withProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The name of the profile for the algorithm.
- withProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The name of the profile for the model package.
- withProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- withProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- withProfilerConfig(ProfilerConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- withProfilerConfig(ProfilerConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage
paths.
- withProfilerRuleConfigurations(ProfilerRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleConfigurations(ProfilerRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleConfigurations(ProfilerRuleConfiguration...) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleConfigurations(Collection<ProfilerRuleConfiguration>) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
- withProfilerRuleEvaluationStatuses(ProfilerRuleEvaluationStatus...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
- withProfilerRuleEvaluationStatuses(Collection<ProfilerRuleEvaluationStatus>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
- withProfilingIntervalInMilliseconds(Long) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
A time interval for capturing system metrics in milliseconds.
- withProfilingIntervalInMilliseconds(Long) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
A time interval for capturing system metrics in milliseconds.
- withProfilingParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Configuration information for capturing framework metrics.
- withProfilingParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Configuration information for capturing framework metrics.
- withProfilingStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Profiling status of a training job.
- withProfilingStatus(ProfilingStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Profiling status of a training job.
- withProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The supported programming language and its version.
- withProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The supported programming language and its version.
- withProgrammingLang(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The supported programming language and its version.
- withProject(Project) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a project.
- withProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- withProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The Amazon Resource Name (ARN) of the project.
- withProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The Amazon Resource Name (ARN) of the project.
- withProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The Amazon Resource Name (ARN) of the project.
- withProjectArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectResult
-
The Amazon Resource Name (ARN) of the project.
- withProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
A description for the project.
- withProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The description of the project.
- withProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The description of the project.
- withProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The description of the project.
- withProjectDescription(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The description for the project.
- withProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectResult
-
The ID of the new project.
- withProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The ID of the project.
- withProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The project ID.
- withProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The ID of the project.
- withProjectId(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The ID of the project.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The name of the project.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteProjectRequest
-
The name of the project to delete.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectRequest
-
The name of the project to describe.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The name of the project.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The name of the project.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The name of the project.
- withProjectName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The name of the project.
- withProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The status of the project.
- withProjectStatus(ProjectStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
The status of the project.
- withProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The status of the project.
- withProjectStatus(ProjectStatus) - Method in class com.amazonaws.services.sagemaker.model.Project
-
The status of the project.
- withProjectStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The status of the project.
- withProjectStatus(ProjectStatus) - Method in class com.amazonaws.services.sagemaker.model.ProjectSummary
-
The status of the project.
- withProjectSummaryList(ProjectSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
A list of summaries of projects.
- withProjectSummaryList(Collection<ProjectSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsResult
-
A list of summaries of projects.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of properties to add to the action.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of properties to add to the artifact.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of properties to add to the context.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
A list of the action's properties.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
A list of the artifact's properties.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
A list of the context's properties.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new list of properties.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
The new list of properties.
- withProperties(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
The new list of properties.
- withPropertiesToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
A list of properties to remove.
- withPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
A list of properties to remove.
- withPropertiesToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
A list of properties to remove.
- withPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateArtifactRequest
-
A list of properties to remove.
- withPropertiesToRemove(String...) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
A list of properties to remove.
- withPropertiesToRemove(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UpdateContextRequest
-
A list of properties to remove.
- withPropertyName(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameSuggestion
-
A suggested property name based on what you entered in the search textbox in the SageMaker console.
- withPropertyNameHint(String) - Method in class com.amazonaws.services.sagemaker.model.PropertyNameQuery
-
Text that begins a property's name.
- withPropertyNameQuery(PropertyNameQuery) - Method in class com.amazonaws.services.sagemaker.model.SuggestionQuery
-
Defines a property name hint.
- withPropertyNameSuggestions(PropertyNameSuggestion...) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- withPropertyNameSuggestions(Collection<PropertyNameSuggestion>) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsResult
-
A list of property names for a Resource that match a SuggestionQuery.
- withProvisionedConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessConfig
-
The amount of provisioned concurrency to allocate for the serverless endpoint.
- withProvisionedConcurrency(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantServerlessUpdateConfig
-
The updated amount of provisioned concurrency to allocate for the serverless endpoint.
- withProvisionedProductId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The ID of the provisioned product.
- withProvisionedProductStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisionedProductDetails
-
The current status of the product.
- withProvisioningArtifactId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
The ID of the provisioning artifact.
- withProvisioningArtifactId(String) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
The ID of the provisioning artifact.
- withProvisioningParameters(ProvisioningParameter...) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
A list of key value pairs that you specify when you provision a product.
- withProvisioningParameters(Collection<ProvisioningParameter>) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningDetails
-
A list of key value pairs that you specify when you provision a product.
- withProvisioningParameters(ProvisioningParameter...) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
A list of key value pairs that you specify when you provision a product.
- withProvisioningParameters(Collection<ProvisioningParameter>) - Method in class com.amazonaws.services.sagemaker.model.ServiceCatalogProvisioningUpdateDetails
-
A list of key value pairs that you specify when you provision a product.
- withPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
- withPublicWorkforceTaskPrice(PublicWorkforceTaskPrice) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
- withQualityCheck(QualityCheckStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The configurations and outcomes of the check step execution.
- withQueryString(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withQueryString(String) - Method in class com.amazonaws.services.sagemaker.model.RedshiftDatasetDefinition
-
- withRandomSeed(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
A value used to initialize a pseudo-random number generator.
- withRange(ParameterRange) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The allowed range for this hyperparameter.
- withRealTimeInferenceConfig(RealTimeInferenceConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelInfrastructureConfig
-
The infrastructure configuration for deploying the model to real-time inference.
- withRealTimeInferenceRecommendations(RealTimeInferenceRecommendation...) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
- withRealTimeInferenceRecommendations(Collection<RealTimeInferenceRecommendation>) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
- withReason(String) - Method in class com.amazonaws.services.sagemaker.model.StopInferenceExperimentRequest
-
The reason for stopping the experiment.
- withRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The recommendation ID of a previously completed inference recommendation.
- withRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The recommendation ID of a previously completed inference recommendation.
- withRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- withRecommendationId(String) - Method in class com.amazonaws.services.sagemaker.model.RealTimeInferenceRecommendation
-
The recommendation ID which uniquely identifies each recommendation.
- withRecommendationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
Status of the deployment recommendation.
- withRecommendationStatus(RecommendationStatus) - Method in class com.amazonaws.services.sagemaker.model.DeploymentRecommendation
-
Status of the deployment recommendation.
- withRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureStore.
- withRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The name of the Feature used for RecordIdentifier, whose value uniquely identifies a
record stored in the feature store.
- withRecordIdentifierFeatureName(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The name of the Feature whose value uniquely identifies a Record defined in the
FeatureGroup FeatureDefinitions.
- withRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.DataQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- withRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ModelQualityAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- withRecordPreprocessorSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringAppSpecification
-
An Amazon S3 URI to a script that is called per row prior to running analysis.
- withRecordWrapperType(String) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- withRecordWrapperType(RecordWrapper) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
- withRedshiftDatasetDefinition(RedshiftDatasetDefinition) - Method in class com.amazonaws.services.sagemaker.model.DatasetDefinition
-
- withRegex(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDefinition
-
A regular expression that searches the output of a training job and gets the value of the metric.
- withRegisteredDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.DeviceStats
-
The number of registered devices.
- withRegisterModel(RegisterModelStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
- withRegisterNewBaseline(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- withRegisterNewBaseline(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if a newly calculated baseline can be accessed through step properties
BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics.
- withRegistrationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceResult
-
The timestamp of the last registration or de-reregistration.
- withRegistrationTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeviceSummary
-
The timestamp of the last registration or de-reregistration.
- withReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The maintainer description of the image version.
- withReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The maintainer description of the image version.
- withReleaseNotes(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The maintainer description of the image version.
- withRenderedContent(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateResult
-
A Liquid template that renders the HTML for the worker UI.
- withReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Bias
-
The bias report for a model
- withReport(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.Explainability
-
The explainability report for a model.
- withReportGenerated(Date) - Method in class com.amazonaws.services.sagemaker.model.GetDeviceFleetReportResult
-
Timestamp of when the report was generated.
- withRepository(String) - Method in class com.amazonaws.services.sagemaker.model.MetadataProperties
-
The repository.
- withRepositoryAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
Set this to one of the following values:
- withRepositoryAccessMode(RepositoryAccessMode) - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
Set this to one of the following values:
- withRepositoryAuthConfig(RepositoryAuthConfig) - Method in class com.amazonaws.services.sagemaker.model.ImageConfig
-
(Optional) Specifies an authentication configuration for the private docker registry where your model image is
hosted.
- withRepositoryCredentialsProviderArn(String) - Method in class com.amazonaws.services.sagemaker.model.RepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to
authenticate to the private Docker registry where your model image is hosted.
- withRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CodeRepository
-
The URL of the Git repository.
- withRepositoryUrl(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The URL where the Git repository is located.
- withResolutionTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The date and time when the image path for the model resolved to the ResolvedImage
- withResolvedAttributes(ResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
Contains ProblemType, AutoMLJobObjective, and CompletionCriteria.
- withResolvedAttributes(AutoMLResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the resolved attributes used by the AutoML job V2.
- withResolvedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The specific digest path of the image hosted in this ProductionVariant.
- withResolvedOutputS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 path where offline records are written.
- withResource(String) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the SageMaker resource to search for.
- withResource(ResourceType) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
The name of the SageMaker resource to search for.
- withResource(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the SageMaker resource to search for.
- withResource(ResourceType) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the SageMaker resource to search for.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
The Amazon Resource Name (ARN) of the resource that you want to tag.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
- withResourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTagsRequest
-
The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
- withResourceCatalogArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The Amazon Resource Name (ARN) of the ResourceCatalog.
- withResourceCatalogName(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceCatalog
-
The name of the ResourceCatalog.
- withResourceCatalogs(ResourceCatalog...) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A list of the requested ResourceCatalogs.
- withResourceCatalogs(Collection<ResourceCatalog>) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsResult
-
A list of the requested ResourceCatalogs.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning
job launches.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
- withResourceConfig(ResourceConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
The resources, including the ML compute instances and ML storage volumes, to use for model training.
- withResourceConfig(ResourceConfigForUpdate) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The training job ResourceConfig to update warm pool retention length.
- withResourceKey(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
- withResourceKey(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
- withResourceLimit(RecommendationJobResourceLimit) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Defines the resource limit of the job.
- withResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The
ResourceLimits
object that specifies the maximum number of training and parallel training jobs that can be used for this
hyperparameter tuning job.
- withResourceLimits(ResourceLimits) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
ResourceLimits
object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
- withResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.GetLineageGroupPolicyResult
-
The resource policy that gives access to the lineage group in another account.
- withResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.GetModelPackageGroupPolicyResult
-
The resource policy for the model group.
- withResourcePolicy(String) - Method in class com.amazonaws.services.sagemaker.model.PutModelPackageGroupPolicyRequest
-
The resource policy for the model group.
- withResourceRetainedBillableTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The billable time in seconds used by the warm pool.
- withResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- withResourceSpec(ResourceSpec) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.
- withResults(SearchRecord...) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchRecord objects.
- withResults(Collection<SearchRecord>) - Method in class com.amazonaws.services.sagemaker.model.SearchResult
-
A list of SearchRecord objects.
- withRetainAllVariantProperties(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
When updating endpoint resources, enables or disables the retention of
variant properties,
such as the instance count or the variant weight.
- withRetainDeploymentConfig(Boolean) - Method in class com.amazonaws.services.sagemaker.model.UpdateEndpointRequest
-
Specifies whether to reuse the last deployment configuration.
- withRetentionPolicy(RetentionPolicy) - Method in class com.amazonaws.services.sagemaker.model.DeleteDomainRequest
-
The retention policy for this domain, which specifies whether resources will be retained after the Domain is
deleted.
- withRetryableError(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs that failed, but can be retried.
- withRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The number of times to retry the job when the job fails due to an InternalServerError.
- withRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The number of times to retry the job when the job fails due to an InternalServerError.
- withRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The number of times to retry the job when the job fails due to an InternalServerError.
- withRetryStrategy(RetryStrategy) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The number of times to retry the job when the job fails due to an InternalServerError.
- withReusedByJob(String) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The name of the matching training job that reused the warm pool.
- withRiskRating(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The risk rating of the model.
- withRiskRating(String) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
A model card's risk rating.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
The ARN of the role that is used to access the data.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The ARN of the role that is used to access the data.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact SageMaker Neo.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore
if an OfflineStoreConfig is provided.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
The Amazon Resource Name (ARN) of the role needed to call other services on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
The ARN of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data
labeling.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker assumes this
role to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobResult
-
The Amazon Resource Name (ARN) of the Identity and Access Management (IAM) role that has read permission to the
input data location and write permission to the output data location in Amazon S3.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
The ARN of the Identity and Access Management role that has read permission to the input data location and write
permission to the output data location in Amazon S3.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDeviceFleetResult
-
The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgePackagingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and
to contact Neo.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFeatureGroupResult
-
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an
OfflineStoreConfig is provided.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeFlowDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for
the flow definition.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageResult
-
The ARN of the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided
when you initiated the job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that has read
permission to the input data location and write permission to the output data location in Amazon S3.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The Amazon Resource Name (ARN) of the IAM role associated with the instance.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineResult
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and
manage Amazon SageMaker Inference endpoints for model deployment.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
The Amazon Resource Name (ARN) of the role that created the pipeline.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineSummary
-
The Amazon Resource Name (ARN) that the pipeline used to execute.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the role used to create the processing job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateDeviceFleetRequest
-
The Amazon Resource Name (ARN) of the device.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageRequest
-
The new ARN for the IAM role that enables Amazon SageMaker to perform tasks on your behalf.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the notebook instance.
- withRoleArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdatePipelineRequest
-
The Amazon Resource Name (ARN) that the pipeline uses to execute.
- withRollbackMaximumBatchSize(CapacitySize) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
Batch size for rollback to the old endpoint fleet.
- withRollingUpdatePolicy(RollingUpdatePolicy) - Method in class com.amazonaws.services.sagemaker.model.DeploymentConfig
-
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRootAccess(RootAccess) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
Whether root access is enabled or disabled for users of the notebook instance.
- withRSessionAppSettings(RSessionAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure the RSessionGateway app.
- withRStudioConnectUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Connect server.
- withRStudioConnectUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Connect server.
- withRStudioPackageManagerUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettings
-
A URL pointing to an RStudio Package Manager server.
- withRStudioPackageManagerUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProDomainSettingsForUpdate
-
A URL pointing to an RStudio Package Manager server.
- withRStudioServerProAppSettings(RStudioServerProAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
A collection of settings that configure user interaction with the RStudioServerPro app.
- withRStudioServerProDomainSettings(RStudioServerProDomainSettings) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
A collection of settings that configure the RStudioServerPro Domain-level app.
- withRStudioServerProDomainSettingsForUpdate(RStudioServerProDomainSettingsForUpdate) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
A collection of RStudioServerPro Domain-level app settings to update.
- withRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The name of the rule configuration.
- withRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The name of the rule configuration.
- withRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The name of the rule configuration.
- withRuleConfigurationName(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The name of the rule configuration.
- withRuleEvaluationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- withRuleEvaluationJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
The Amazon Resource Name (ARN) of the rule evaluation job.
- withRuleEvaluationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Status of the rule evaluation.
- withRuleEvaluationStatus(RuleEvaluationStatus) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Status of the rule evaluation.
- withRuleEvaluationStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Status of the rule evaluation.
- withRuleEvaluationStatus(RuleEvaluationStatus) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Status of the rule evaluation.
- withRuleEvaluatorImage(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
- withRuleEvaluatorImage(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The Amazon Elastic Container Registry Image for the managed rule evaluation.
- withRuleParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Runtime configuration for rule container.
- withRuleParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Runtime configuration for rule container.
- withRunName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of the experiment run to associate with the trial component.
- withRunName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the experiment run.
- withRuntimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConsumedResources
-
The wall clock runtime in seconds used by your hyperparameter tuning job.
- withS3ArtifactPath(String) - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon S3 bucket used to store artifacts generated by Canvas.
- withS3CompressionType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container.
- withS3CompressionType(ProcessingS3CompressionType) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container.
- withS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- withS3DataDistributionType(ProcessingS3DataDistributionType) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- withS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- withS3DataDistributionType(ProcessingS3DataDistributionType) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key.
- withS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or
whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing
instance.
- withS3DataDistributionType(ProcessingS3DataDistributionType) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or
whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing
instance.
- withS3DataDistributionType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model
training, specify FullyReplicated.
- withS3DataDistributionType(S3DataDistribution) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model
training, specify FullyReplicated.
- withS3DataSource(AutoMLS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSource
-
The Amazon S3 location of the input data.
- withS3DataSource(S3DataSource) - Method in class com.amazonaws.services.sagemaker.model.DataSource
-
The S3 location of the data source that is associated with a channel.
- withS3DataSource(LabelingJobS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
The Amazon S3 location of the input data objects.
- withS3DataSource(S3ModelDataSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataSource
-
Specifies the S3 location of ML model data to deploy.
- withS3DataSource(TransformS3DataSource) - Method in class com.amazonaws.services.sagemaker.model.TransformDataSource
-
The S3 location of the data source that is associated with a channel.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The data type.
- withS3DataType(AutoMLS3DataType) - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The data type.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether you use an S3Prefix or a ManifestFile for the data type.
- withS3DataType(ProcessingS3DataType) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether you use an S3Prefix or a ManifestFile for the data type.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(S3DataType) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the type of ML model data to deploy.
- withS3DataType(S3ModelDataType) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the type of ML model data to deploy.
- withS3DataType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3DataType(S3DataType) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
If you choose S3Prefix, S3Uri identifies a key name prefix.
- withS3ExportArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportArtifacts
-
The Amazon S3 URI of the exported model artifacts.
- withS3FailurePath(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload failure inference responses to.
- withS3Input(ProcessingS3Input) - Method in class com.amazonaws.services.sagemaker.model.ProcessingInput
-
Configuration for downloading input data from Amazon S3 into the processing container.
- withS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- withS3InputMode(ProcessingS3InputMode) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- withS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- withS3InputMode(ProcessingS3InputMode) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
Whether the Pipe or File is used as the input mode for transferring data for the
monitoring job.
- withS3InputMode(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to use File or Pipe input mode.
- withS3InputMode(ProcessingS3InputMode) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
Whether to use File or Pipe input mode.
- withS3KmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service
(KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
- withS3KmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts
generated by Canvas in the Amazon S3 bucket.
- withS3ModelArtifacts(String) - Method in class com.amazonaws.services.sagemaker.model.ModelArtifacts
-
The path of the S3 object that contains the model artifacts.
- withS3Output(MonitoringS3Output) - Method in class com.amazonaws.services.sagemaker.model.MonitoringOutput
-
The Amazon S3 storage location where the results of a monitoring job are saved.
- withS3Output(ProcessingS3Output) - Method in class com.amazonaws.services.sagemaker.model.ProcessingOutput
-
Configuration for processing job outputs in Amazon S3.
- withS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeOutputConfig
-
The Amazon Simple Storage (S3) bucker URI.
- withS3OutputLocation(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceOutputConfig
-
The Amazon S3 location to upload inference responses to.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLOutputDataConfig
-
The Amazon S3 output path.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugHookConfig
-
Path to Amazon S3 storage location for metrics and tensors.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.FlowDefinitionOutputConfig
-
The Amazon S3 path where the object containing human output will be made available.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.HubS3StorageConfig
-
The Amazon S3 bucket prefix for hosting hub content.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
The Amazon S3 location to write output data.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportOutputConfig
-
The Amazon S3 output path to export your model card PDF.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.OutputDataConfig
-
Identifies the S3 path where you want SageMaker to store the model artifacts.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfig
-
Path to Amazon S3 storage location for system and framework metrics.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerConfigForUpdate
-
Path to Amazon S3 storage location for system and framework metrics.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
Path to Amazon S3 storage location for rules.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.SharingSettings
-
When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared
notebook snapshots.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TensorBoardOutputConfig
-
Path to Amazon S3 storage location for TensorBoard output.
- withS3OutputPath(String) - Method in class com.amazonaws.services.sagemaker.model.TransformOutput
-
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job.
- withS3OutputUri(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobCompiledOutputConfig
-
Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
- withS3StorageConfig(HubS3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
The Amazon S3 storage configuration for the hub.
- withS3StorageConfig(HubS3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHubResult
-
The Amazon S3 storage configuration for the hub.
- withS3StorageConfig(S3StorageConfig) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
The Amazon Simple Storage (Amazon S3) location of OfflineStore.
- withS3UploadMode(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
Whether to upload the results of the monitoring job continuously or after the job completes.
- withS3UploadMode(ProcessingS3UploadMode) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
Whether to upload the results of the monitoring job continuously or after the job completes.
- withS3UploadMode(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
Whether to upload the results of the processing job continuously or after the job completes.
- withS3UploadMode(ProcessingS3UploadMode) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
Whether to upload the results of the processing job continuously or after the job completes.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLS3DataSource
-
The URL to the Amazon S3 data source.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.CheckpointConfig
-
Identifies the S3 path where you want SageMaker to store checkpoints.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.FileSource
-
The Amazon S3 URI for the file source.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.InputConfig
-
The S3 path where the model artifacts, which result from model training, are stored.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MetricsSource
-
The S3 URI for the metrics source.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringConstraintsResource
-
The Amazon S3 URI for the constraints resource.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringGroundTruthS3Input
-
The address of the Amazon S3 location of the ground truth labels.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringS3Output
-
A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring
job.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringStatisticsResource
-
The Amazon S3 URI for the statistics resource.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Input
-
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingS3Output
-
A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing
job.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3ModelDataSource
-
Specifies the S3 path of ML model data to deploy.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.S3StorageConfig
-
The S3 URI, or location in Amazon S3, of OfflineStore.
- withS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.TransformS3DataSource
-
Depending on the value specified for the S3DataType, identifies either a key name prefix or a
manifest.
- withSageMakerImageArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the SageMaker image that the image version belongs to.
- withSageMakerImageVersionAliases(String...) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A list of SageMaker image version aliases.
- withSageMakerImageVersionAliases(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesResult
-
A list of SageMaker image version aliases.
- withSageMakerImageVersionArn(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceSpec
-
The ARN of the image version created on the instance.
- withSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- withSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored.
- withSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- withSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The Amazon Simple Storage Service path where the sample payload are stored.
- withSamplePayloadUrl(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored.
- withSampleWeightAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- withSampleWeightAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
If specified, this column name indicates which column of the dataset should be treated as sample weights for use
by the objective metric during the training, evaluation, and the selection of the best model.
- withSamplingDeviceCount(Long) - Method in class com.amazonaws.services.sagemaker.model.EdgeModelStat
-
The number of devices with this model version and are producing sample data.
- withSamplingPercentage(Integer) - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow
variant.
- withScaleInCooldown(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale in cooldown time for your autoscaling policy.
- withScaleOutCooldown(Integer) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
The recommended scale out cooldown time for your autoscaling policy.
- withScalingPolicies(ScalingPolicy...) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
An object of the scaling policies for each metric.
- withScalingPolicies(Collection<ScalingPolicy>) - Method in class com.amazonaws.services.sagemaker.model.DynamicScalingConfiguration
-
An object of the scaling policies for each metric.
- withScalingPolicyObjective(ScalingPolicyObjective) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
An object where you specify the anticipated traffic pattern for an endpoint.
- withScalingPolicyObjective(ScalingPolicyObjective) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
- withScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(HyperParameterScalingType) - Method in class com.amazonaws.services.sagemaker.model.ContinuousParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(String) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withScalingType(HyperParameterScalingType) - Method in class com.amazonaws.services.sagemaker.model.IntegerParameterRange
-
The scale that hyperparameter tuning uses to search the hyperparameter range.
- withSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The duration for which you want the inference experiment to run.
- withSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The duration for which the inference experiment ran or will run.
- withSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The duration for which the inference experiment ran or will run.
- withSchedule(InferenceExperimentSchedule) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The duration for which the inference experiment will run.
- withScheduleConfig(ScheduleConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringScheduleConfig
-
Configures the monitoring schedule.
- withScheduledTime(Date) - Method in class com.amazonaws.services.sagemaker.model.MonitoringExecutionSummary
-
The time the monitoring job was scheduled.
- withScheduledTimeAfter(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled after a specified time.
- withScheduledTimeBefore(Date) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Filter for jobs scheduled before a specified time.
- withScheduleExpression(String) - Method in class com.amazonaws.services.sagemaker.model.ScheduleConfig
-
A cron expression that describes details about the monitoring schedule.
- withSearchExpression(ModelMetadataSearchExpression) - Method in class com.amazonaws.services.sagemaker.model.ListModelMetadataRequest
-
One or more filters that searches for the specified resource or resources in a search.
- withSearchExpression(SearchExpression) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
A Boolean conditional statement.
- withSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- withSecondaryStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Provides detailed information about the state of the training job.
- withSecondaryStatusTransitions(SecondaryStatusTransition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(SecondaryStatusTransition...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecondaryStatusTransitions(Collection<SecondaryStatusTransition>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A history of all of the secondary statuses that the training job has transitioned through.
- withSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfig
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- withSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.GitConfigForUpdate
-
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials
used to access the git repository.
- withSecretArn(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider,
such as the client ID and secret, authorization URL, and token URL.
- withSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLJobConfig
-
The security configuration for traffic encryption or Amazon VPC settings.
- withSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
The security configuration for traffic encryption or Amazon VPC settings.
- withSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated
workloads with highly sensitive data.
- withSecurityConfig(AutoMLSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeAutoMLJobV2Result
-
Returns the security configuration for traffic encryption or Amazon VPC settings.
- withSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardResult
-
The security configuration used to protect model card content.
- withSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
The security configuration used to protect model card data.
- withSecurityConfig(ModelCardSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The KMS Key ID (KMSKeyId) for encryption of model card information.
- withSecurityConfig(OnlineStoreSecurityConfig) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.
- withSecurityGroupIdForDomainBoundary(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the security group that authorizes traffic between the RSessionGateway apps and the
RStudioServerPro app.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DomainSettings
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DomainSettingsForUpdate
-
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication
between Domain-level apps and user apps.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The VPC security group IDs.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The VPC security group IDs.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The VPC security group IDs.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The VPC security group IDs.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(String...) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroupIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The VPC security group IDs, in the form sg-xxxxxxxx.
- withSecurityGroups(String...) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The security group IDs for the Amazon Virtual Private Cloud that the space uses for communication.
- withSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DefaultSpaceSettings
-
The security group IDs for the Amazon Virtual Private Cloud that the space uses for communication.
- withSecurityGroups(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- withSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The IDs of the VPC security groups.
- withSecurityGroups(String...) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- withSecurityGroups(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- withSeed(Integer) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The starting value used to initialize the random number generator in the explainer.
- withSeed(Long) - Method in class com.amazonaws.services.sagemaker.model.ShuffleConfig
-
Determines the shuffling order in ShuffleConfig value.
- withSelectedSteps(SelectedStep...) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
A list of pipeline steps to run.
- withSelectedSteps(Collection<SelectedStep>) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
A list of pipeline steps to run.
- withSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribePipelineExecutionResult
-
The selective execution configuration applied to the pipeline run.
- withSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecution
-
The selective execution configuration applied to the pipeline run.
- withSelectiveExecutionConfig(SelectiveExecutionConfig) - Method in class com.amazonaws.services.sagemaker.model.StartPipelineExecutionRequest
-
The selective execution configuration applied to the pipeline run.
- withSelectiveExecutionResult(SelectiveExecutionResult) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The ARN from an execution of the current pipeline from which results are reused for this step.
- withSellerName(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The name of the vendor in the Amazon Marketplace.
- withServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.EndpointInputConfiguration
-
- withServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
- withServerlessConfig(ProductionVariantServerlessConfig) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The serverless configuration for an endpoint.
- withServerlessUpdateConfig(ProductionVariantServerlessUpdateConfig) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
Specifies the serverless update concurrency configuration for an endpoint variant.
- withServiceCatalogProvisionedProductDetails(ServiceCatalogProvisionedProductDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information about a provisioned service catalog product.
- withServiceCatalogProvisionedProductDetails(ServiceCatalogProvisionedProductDetails) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- withServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- withServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeProjectResult
-
Information used to provision a service catalog product.
- withServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails) - Method in class com.amazonaws.services.sagemaker.model.Project
-
- withServiceCatalogProvisioningUpdateDetails(ServiceCatalogProvisioningUpdateDetails) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
The product ID and provisioning artifact ID to provision a service catalog.
- withSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The session expiration duration in seconds.
- withSessionExpirationDurationInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedNotebookInstanceUrlRequest
-
The duration of the session, in seconds.
- withSet(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The dataset split from which the AutoML job produced the metric.
- withSet(MetricSetSource) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The dataset split from which the AutoML job produced the metric.
- withShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- withShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The configuration of ShadowMode inference experiment type, which shows the production variant that
takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the
inference requests.
- withShadowModeConfig(ShadowModeConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateInferenceExperimentRequest
-
The configuration of ShadowMode inference experiment type.
- withShadowModelVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ShadowModelVariantConfig
-
The name of the shadow variant.
- withShadowModelVariants(ShadowModelVariantConfig...) - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
List of shadow variant configurations.
- withShadowModelVariants(Collection<ShadowModelVariantConfig>) - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
List of shadow variant configurations.
- withShadowProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- withShadowProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- withShadowProductionVariants(ProductionVariant...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- withShadowProductionVariants(Collection<ProductionVariant>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointConfigResult
-
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in
shadow mode with production traffic replicated from the model specified on ProductionVariants.
- withShadowProductionVariants(ProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
An array of
ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode
with production traffic replicated from the model specified on
ProductionVariants.
- withShadowProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEndpointResult
-
An array of
ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode
with production traffic replicated from the model specified on
ProductionVariants.
- withShadowProductionVariants(ProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the shadow variants hosted on the endpoint.
- withShadowProductionVariants(Collection<ProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the shadow variants hosted on the endpoint.
- withShadowProductionVariants(PendingProductionVariantSummary...) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
An array of
PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with
production traffic replicated from the model specified on
ProductionVariants for the in-progress
deployment.
- withShadowProductionVariants(Collection<PendingProductionVariantSummary>) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
An array of
PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with
production traffic replicated from the model specified on
ProductionVariants for the in-progress
deployment.
- withShapBaseline(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The inline SHAP baseline data in string format.
- withShapBaselineConfig(ClarifyShapBaselineConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
- withShapBaselineUri(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapBaselineConfig
-
The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored.
- withShapConfig(ClarifyShapConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyExplainerConfig
-
The configuration for SHAP analysis.
- withSharingSettings(SharingSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
Specifies options for sharing SageMaker Studio notebooks.
- withShuffleConfig(ShuffleConfig) - Method in class com.amazonaws.services.sagemaker.model.Channel
-
A configuration for a shuffle option for input data in a channel.
- withSingleSignOnManagedApplicationInstanceId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The IAM Identity Center managed application instance ID.
- withSingleSignOnUserIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A specifier for the type of value specified in SingleSignOnUserValue.
- withSingleSignOnUserIdentifier(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user identifier.
- withSingleSignOnUserValue(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
The username of the associated Amazon Web Services Single Sign-On User for this UserProfile.
- withSingleSignOnUserValue(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The IAM Identity Center user value.
- withSkipCheck(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- withSkipCheck(Boolean) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
This flag indicates if the drift check against the previous baseline will be skipped or not.
- withSnsDataSource(LabelingJobSnsDataSource) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobDataSource
-
An Amazon SNS data source used for streaming labeling jobs.
- withSnsTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobOutputConfig
-
An Amazon Simple Notification Service (Amazon SNS) output topic ARN.
- withSnsTopicArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSnsDataSource
-
The Amazon SNS input topic Amazon Resource Name (ARN).
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The property used to sort results.
- withSortBy(SortActionsBy) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- withSortBy(AlgorithmSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The property used to sort results.
- withSortBy(AppImageConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The parameter by which to sort the results.
- withSortBy(AppSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The property used to sort results.
- withSortBy(SortArtifactsBy) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The property used to sort results.
- withSortBy(SortAssociationsBy) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The parameter by which to sort the results.
- withSortBy(AutoMLSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The parameter by which to sort the results.
- withSortBy(CandidateSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- withSortBy(CodeRepositorySortBy) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- withSortBy(ListCompilationJobsSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The field by which to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The property used to sort results.
- withSortBy(SortContextsBy) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The field to sort results by.
- withSortBy(MonitoringJobDefinitionSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The column to sort by.
- withSortBy(ListDeviceFleetsSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
The column to sort by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The column by which to sort the edge deployment plans.
- withSortBy(ListEdgeDeploymentPlansSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The column by which to sort the edge deployment plans.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Use to specify what column to sort by.
- withSortBy(ListEdgePackagingJobsSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
Use to specify what column to sort by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- withSortBy(EndpointConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- withSortBy(EndpointSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The property used to sort results.
- withSortBy(SortExperimentsBy) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The value on which the feature group list is sorted.
- withSortBy(FeatureGroupSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The value on which the feature group list is sorted.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hub content versions by either name or creation time.
- withSortBy(HubContentSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hub content versions by either name or creation time.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by either name or creation time.
- withSortBy(HubContentSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by either name or creation time.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by either name or creation time.
- withSortBy(HubSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by either name or creation time.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- withSortBy(HyperParameterTuningJobSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The property used to sort results.
- withSortBy(ImageSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The property used to sort results.
- withSortBy(ImageVersionSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The column by which to sort the listed inference experiments.
- withSortBy(SortInferenceExperimentsBy) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The column by which to sort the listed inference experiments.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The parameter by which to sort the results.
- withSortBy(ListInferenceRecommendationsJobsSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- withSortBy(ListLabelingJobsForWorkteamSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The parameter by which to sort the results.
- withSortBy(SortLineageGroupsBy) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- withSortBy(MonitoringJobDefinitionSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by either name or creation time.
- withSortBy(ModelCardExportJobSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by either name or creation time.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by either name or creation time.
- withSortBy(ModelCardSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by either name or creation time.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort listed model card versions by version.
- withSortBy(ModelCardVersionSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort listed model card versions by version.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- withSortBy(MonitoringJobDefinitionSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort results by the Name or CreationTime field.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The field to sort results by.
- withSortBy(ModelPackageGroupSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- withSortBy(ModelPackageSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The field to sort results by.
- withSortBy(MonitoringJobDefinitionSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- withSortBy(ModelSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The field used to sort results.
- withSortBy(MonitoringAlertHistorySortKey) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The field used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- withSortBy(MonitoringExecutionSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- withSortBy(MonitoringScheduleSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort results by Status, CreationTime, ScheduledTime field.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- withSortBy(NotebookInstanceLifecycleConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
Sorts the list of results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- withSortBy(NotebookInstanceSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The field by which to sort results.
- withSortBy(SortPipelineExecutionsBy) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The field by which to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The field by which to sort results.
- withSortBy(SortPipelinesBy) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The field by which to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The field by which to sort results.
- withSortBy(ProjectSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The field by which to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The value on which the resource catalog list is sorted.
- withSortBy(ResourceCatalogSortBy) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The value on which the resource catalog list is sorted.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The parameter by which to sort the results.
- withSortBy(SpaceSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The property used to sort results.
- withSortBy(StudioLifecycleConfigSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- withSortBy(TrainingJobSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- withSortBy(SortBy) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The property used to sort results.
- withSortBy(SortTrialComponentsBy) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The property used to sort results.
- withSortBy(SortTrialsBy) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The property used to sort results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The parameter by which to sort the results.
- withSortBy(UserProfileSortKey) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The parameter by which to sort the results.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces using the workforce name or creation date.
- withSortBy(ListWorkforcesSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces using the workforce name or creation date.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- withSortBy(ListWorkteamsSortByOptions) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The field to sort results by.
- withSortBy(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
The name of the resource property used to sort the SearchResults.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAlgorithmsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAppImageConfigsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The sort order for the results.
- withSortOrder(AutoMLSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The sort order for the results.
- withSortOrder(AutoMLSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- withSortOrder(CodeRepositorySortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListCodeRepositoriesRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListDataQualityJobDefinitionsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
What direction to sort in.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListDeviceFleetsRequest
-
What direction to sort in.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The direction of the sorting (ascending or descending).
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListEdgeDeploymentPlansRequest
-
The direction of the sorting (ascending or descending).
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
What direction to sort by.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
What direction to sort by.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointConfigsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListExperimentsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The order in which feature groups are listed.
- withSortOrder(FeatureGroupSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListFeatureGroupsRequest
-
The order in which feature groups are listed.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListFlowDefinitionsRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hubs by ascending or descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentsRequest
-
Sort hubs by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by ascending or descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHubContentVersionsRequest
-
Sort hub content versions by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by ascending or descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHubsRequest
-
Sort hubs by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHumanTaskUisRequest
-
An optional value that specifies whether you want the results sorted in Ascending or
Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The sort order.
- withSortOrder(ImageSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListImagesRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The sort order.
- withSortOrder(ImageVersionSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListImageVersionsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The direction of sorting (ascending or descending).
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
The direction of sorting (ascending or descending).
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListLineageGroupsRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelBiasJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by ascending or descending order.
- withSortOrder(ModelCardExportJobSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Sort model card export jobs by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by ascending or descending order.
- withSortOrder(ModelCardSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardsRequest
-
Sort model cards by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort model card versions by ascending or descending order.
- withSortOrder(ModelCardSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardVersionsRequest
-
Sort model card versions by ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackageGroupsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelPackagesRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListModelQualityJobDefinitionsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- withSortOrder(OrderKey) - Method in class com.amazonaws.services.sagemaker.model.ListModelsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The sort order, whether Ascending or Descending, of the alert history.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
The sort order, whether Ascending or Descending, of the alert history.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
Whether to sort the results in Ascending or Descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- withSortOrder(NotebookInstanceLifecycleConfigSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- withSortOrder(NotebookInstanceSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The field by which to sort results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListPipelineExecutionStepsRequest
-
The field by which to sort results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListPipelinesRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The sort order for results.
- withSortOrder(ProjectSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListProjectsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The order in which the resource catalogs are listed.
- withSortOrder(ResourceCatalogSortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListResourceCatalogsRequest
-
The order in which the resource catalogs are listed.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The sort order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
The sort order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The sort order for the results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
The sort order for the results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces in ascending or descending order.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesRequest
-
Sort workforces in ascending or descending order.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- withSortOrder(SortOrder) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsRequest
-
The sort order for results.
- withSortOrder(String) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- withSortOrder(SearchSortOrder) - Method in class com.amazonaws.services.sagemaker.model.SearchRequest
-
How SearchResults are ordered.
- withSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The source of the action.
- withSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSummary
-
The source of the artifact.
- withSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.ContextSummary
-
The source of the context.
- withSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The source type, ID, and URI.
- withSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
The ID, ID type, and URI of the source.
- withSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
The source type, ID, and URI.
- withSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.DeleteArtifactRequest
-
The URI of the source.
- withSource(ActionSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The source of the action.
- withSource(ArtifactSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeArtifactResult
-
The source of the artifact.
- withSource(ContextSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeContextResult
-
The source of the context.
- withSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeExperimentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the type.
- withSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- withSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the source and, optionally, the job type.
- withSource(ExperimentSource) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
- withSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
- withSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) and job type of the source of the component.
- withSourceAlgorithms(SourceAlgorithm...) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- withSourceAlgorithms(Collection<SourceAlgorithm>) - Method in class com.amazonaws.services.sagemaker.model.SourceAlgorithmSpecification
-
A list of the algorithms that were used to create a model package.
- withSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Details about the algorithm that was used to create the model package.
- withSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Details about the algorithm that was used to create the model package.
- withSourceAlgorithmSpecification(SourceAlgorithmSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of algorithms that were used to create a model package.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationRequest
-
The ARN of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AddAssociationResult
-
The ARN of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The ARN of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationRequest
-
The ARN of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAssociationResult
-
The ARN of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Edge
-
The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The Amazon Resource Name (ARN) of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source ARN.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that have the specified source Amazon Resource Name (ARN).
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The Amazon Resource Name (ARN) of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source Amazon Resource Name (ARN).
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
The Amazon Resource Name (ARN) of the source.
- withSourceArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The Amazon Resource Name (ARN) of the source.
- withSourceDetail(TrialComponentSourceDetail) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
Details of the source of the component.
- withSourceId(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The ID of the source.
- withSourceId(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The ID of the source.
- withSourceIdentity(String) - Method in class com.amazonaws.services.sagemaker.model.IamIdentity
-
The person or application which assumes the IAM identity.
- withSourceIdType(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The type of ID.
- withSourceIdType(ArtifactSourceIdType) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The type of ID.
- withSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
- withSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
A list of one to ten worker IP address ranges (
CIDRs) that can be used to access
tasks assigned to this workforce.
- withSourceIpConfig(SourceIpConfig) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
A list of one to ten IP address ranges (
CIDRs) to be added to the workforce
allow list.
- withSourceModelVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ShadowModeConfig
-
The name of the production variant, which takes all the inference requests.
- withSourceName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The name of the source.
- withSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.CacheHitResult
-
The Amazon Resource Name (ARN) of the pipeline execution.
- withSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionConfig
-
The ARN from a reference execution of the current pipeline.
- withSourcePipelineExecutionArn(String) - Method in class com.amazonaws.services.sagemaker.model.SelectiveExecutionResult
-
The ARN from an execution of the current pipeline.
- withSources(TrialComponentSource...) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
- withSources(Collection<TrialComponentSource>) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The type of the source.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.AssociationSummary
-
The source type.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The type of the source.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentSource
-
The source type.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.ListAssociationsRequest
-
A filter that returns only associations with the specified source type.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSource
-
The source job type.
- withSourceType(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSource
-
The source job type.
- withSourceTypes(ArtifactSourceType...) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
A list of source types.
- withSourceTypes(Collection<ArtifactSourceType>) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
A list of source types.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSource
-
The URI of the source.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSource
-
The URI of the source.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ContextSource
-
The URI of the source.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListActionsRequest
-
A filter that returns only actions with the specified source URI.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListArtifactsRequest
-
A filter that returns only artifacts with the specified source URI.
- withSourceUri(String) - Method in class com.amazonaws.services.sagemaker.model.ListContextsRequest
-
A filter that returns only contexts with the specified source URI.
- withSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceResult
-
The space's Amazon Resource Name (ARN).
- withSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The space's Amazon Resource Name (ARN).
- withSpaceArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceResult
-
The space's Amazon Resource Name (ARN).
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteSpaceRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceRequest
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The name of the space.
- withSpaceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
The name of the space.
- withSpaceNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesRequest
-
A parameter by which to filter the results.
- withSpaceNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by space name.
- withSpaces(SpaceDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
The list of spaces.
- withSpaces(Collection<SpaceDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListSpacesResult
-
The list of spaces.
- withSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
A collection of space settings.
- withSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
A collection of space settings.
- withSpaceSettings(SpaceSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateSpaceRequest
-
A collection of space settings.
- withSpawnRate(Integer) - Method in class com.amazonaws.services.sagemaker.model.Phase
-
Specified how many new users to spawn in a minute.
- withSpecifiedImage(String) - Method in class com.amazonaws.services.sagemaker.model.DeployedImage
-
The image path you specified when you created the model.
- withSplitType(String) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- withSplitType(SplitType) - Method in class com.amazonaws.services.sagemaker.model.TransformInput
-
The method to use to split the transform job's data files into smaller batches.
- withSqsQueueUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CallbackStepMetadata
-
The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteEdgeDeploymentStageRequest
-
The name of the stage.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStage
-
The name of the stage.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeploymentStageStatusSummary
-
The name of the stage.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.DeviceDeploymentSummary
-
The name of the stage in the edge deployment plan.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.ListStageDevicesRequest
-
The name of the stage in the deployment.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.StartEdgeDeploymentStageRequest
-
The name of the stage to start.
- withStageName(String) - Method in class com.amazonaws.services.sagemaker.model.StopEdgeDeploymentStageRequest
-
The name of the stage to stop.
- withStages(DeploymentStage...) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of stages of the edge deployment plan.
- withStages(Collection<DeploymentStage>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of stages of the edge deployment plan.
- withStages(DeploymentStage...) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
List of stages to be added to the edge deployment plan.
- withStages(Collection<DeploymentStage>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentStageRequest
-
List of stages to be added to the edge deployment plan.
- withStages(DeploymentStageStatusSummary...) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of stages in the edge deployment plan.
- withStages(Collection<DeploymentStageStatusSummary>) - Method in class com.amazonaws.services.sagemaker.model.DescribeEdgeDeploymentPlanResult
-
List of stages in the edge deployment plan.
- withStageStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The general status of the current stage.
- withStageStatus(StageStatus) - Method in class com.amazonaws.services.sagemaker.model.EdgeDeploymentStatus
-
The general status of the current stage.
- withStairs(Stairs) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the stairs traffic pattern.
- withStandardMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the standard metric.
- withStandardMetricName(AutoMLMetricEnum) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The name of the standard metric.
- withStandardMetricName(String) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the standard metric.
- withStandardMetricName(AutoMLMetricExtendedEnum) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The name of the standard metric.
- withStartArns(String...) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
- withStartArns(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageRequest
-
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
When the component started.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
When the component started.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSchedule
-
The timestamp at which the inference experiment started or will start.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PendingDeploymentSummary
-
The start time of the deployment.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The time that the step started executing.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionSummary
-
The start time of the pipeline execution.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The start time of the current status change.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A timestamp that shows when the training job transitioned to the current secondary status state.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
When the component started.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
When the component started.
- withStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
When the component started.
- withStartTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.BatchTransformInput
-
If specified, monitoring jobs substract this time from the start time.
- withStartTimeOffset(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointInput
-
If specified, monitoring jobs substract this time from the start time.
- withStaticHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies the values of hyperparameters that do not change for the tuning job.
- withStatistic(String) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The statistic of the customized metric.
- withStatistic(Statistic) - Method in class com.amazonaws.services.sagemaker.model.CustomizedMetricSpecification
-
The statistic of the customized metric.
- withStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelDataQuality
-
The drift check model data quality statistics.
- withStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.DriftCheckModelQuality
-
The drift check model quality statistics.
- withStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelDataQuality
-
Data quality statistics for a model.
- withStatistics(MetricsSource) - Method in class com.amazonaws.services.sagemaker.model.ModelQuality
-
Model quality statistics.
- withStatisticsResource(MonitoringStatisticsResource) - Method in class com.amazonaws.services.sagemaker.model.DataQualityBaselineConfig
-
- withStatisticsResource(MonitoringStatisticsResource) - Method in class com.amazonaws.services.sagemaker.model.MonitoringBaselineConfig
-
The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The status of the action.
- withStatus(ActionStatus) - Method in class com.amazonaws.services.sagemaker.model.ActionSummary
-
The status of the action.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- withStatus(DetailedAlgorithmStatus) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusItem
-
The current status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The status.
- withStatus(AppStatus) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The status of the action.
- withStatus(ActionStatus) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
The status of the action.
- withStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The status of the component.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The status of the action.
- withStatus(ActionStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeActionResult
-
The status of the action.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The status.
- withStatus(AppStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The status.
- withStatus(DomainStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The status of the inference experiment.
- withStatus(InferenceExperimentStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The status of the inference experiment.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The status of the job.
- withStatus(RecommendationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The status of the job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The completion status of the model card export job.
- withStatus(ModelCardExportJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelCardExportJobResult
-
The completion status of the model card export job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The status.
- withStatus(SpaceStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeSpaceResult
-
The status.
- withStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The status of the component.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The status.
- withStatus(UserProfileStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The status.
- withStatus(DomainStatus) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The status of the deployable resource.
- withStatus(EdgePresetDeploymentStatus) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The status of the deployable resource.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
Whether Service Catalog is enabled or disabled in SageMaker.
- withStatus(SagemakerServicecatalogStatus) - Method in class com.amazonaws.services.sagemaker.model.GetSagemakerServicecatalogPortfolioStatusResult
-
Whether Service Catalog is enabled or disabled in SageMaker.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
- withStatus(FeatureStatus) - Method in class com.amazonaws.services.sagemaker.model.IdentityProviderOAuthSetting
-
Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The status of the inference experiment.
- withStatus(InferenceExperimentStatus) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The status of the inference experiment.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The status of the job.
- withStatus(RecommendationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJob
-
The status of the job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The current status of the benchmark.
- withStatus(RecommendationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The current status of the benchmark.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
A value that indicates whether the update was made successful.
- withStatus(LastUpdateStatusValue) - Method in class com.amazonaws.services.sagemaker.model.LastUpdateStatus
-
A value that indicates whether the update was made successful.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return benchmarks of a specified status.
- withStatus(RecommendationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return benchmarks of a specified status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The completion status of the model card export job.
- withStatus(ModelCardExportJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelCardExportJobSummary
-
The completion status of the model card export job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- withStatus(DetailedModelPackageStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusItem
-
The current status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
- withStatus(FeatureStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelRegisterSettings
-
Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The status of deployment for the model variant on the hosted inference endpoint.
- withStatus(ModelVariantStatus) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The status of deployment for the model variant on the hosted inference endpoint.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
An OfflineStore status.
- withStatus(OfflineStoreStatusValue) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreStatus
-
An OfflineStore status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withStatus(VariantStatus) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- withStatus(SecondaryStatus) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
Contains a secondary status information from a training job.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The status.
- withStatus(SpaceStatus) - Method in class com.amazonaws.services.sagemaker.model.SpaceDetails
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
Describes whether time series forecasting is enabled or disabled in the Canvas application.
- withStatus(FeatureStatus) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingSettings
-
Describes whether time series forecasting is enabled or disabled in the Canvas application.
- withStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
- withStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The status of the component.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new status for the action.
- withStatus(ActionStatus) - Method in class com.amazonaws.services.sagemaker.model.UpdateActionRequest
-
The new status for the action.
- withStatus(TrialComponentStatus) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The new status of the component.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The status.
- withStatus(UserProfileStatus) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The status.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The status of the warm pool.
- withStatus(WarmPoolResourceStatus) - Method in class com.amazonaws.services.sagemaker.model.WarmPoolStatus
-
The status of the warm pool.
- withStatus(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The status of your workforce.
- withStatus(WorkforceStatus) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The status of your workforce.
- withStatusDetails(String) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleEvaluationStatus
-
Details from the rule evaluation.
- withStatusDetails(String) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleEvaluationStatus
-
Details from the rule evaluation.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for status.
- withStatusEquals(AutoMLJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListAutoMLJobsRequest
-
Request a list of jobs, using a filter for status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by status.
- withStatusEquals(CandidateStatus) - Method in class com.amazonaws.services.sagemaker.model.ListCandidatesForAutoMLJobRequest
-
List the candidates for the job and filter by status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
- withStatusEquals(CompilationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListCompilationJobsRequest
-
A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The job status to filter for.
- withStatusEquals(EdgePackagingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListEdgePackagingJobsRequest
-
The job status to filter for.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- withStatusEquals(EndpointStatus) - Method in class com.amazonaws.services.sagemaker.model.ListEndpointsRequest
-
A filter that returns only endpoints with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- withStatusEquals(HyperParameterTuningJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListHyperParameterTuningJobsRequest
-
A filter that returns only tuning jobs with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which are in this status.
- withStatusEquals(InferenceExperimentStatus) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments which are in this status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that retrieves only inference recommendations jobs with a specific status.
- withStatusEquals(RecommendationJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobsRequest
-
A filter that retrieves only inference recommendations jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- withStatusEquals(LabelingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsRequest
-
A filter that retrieves only labeling jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with the specified status.
- withStatusEquals(ModelCardExportJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListModelCardExportJobsRequest
-
Only list model card export jobs with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that retrieves only alerts with a specific status.
- withStatusEquals(MonitoringAlertStatus) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringAlertHistoryRequest
-
A filter that retrieves only alerts with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that retrieves only jobs with a specific status.
- withStatusEquals(ExecutionStatus) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringExecutionsRequest
-
A filter that retrieves only jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- withStatusEquals(ScheduleStatus) - Method in class com.amazonaws.services.sagemaker.model.ListMonitoringSchedulesRequest
-
A filter that returns only monitoring schedules modified before a specified time.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- withStatusEquals(NotebookInstanceStatus) - Method in class com.amazonaws.services.sagemaker.model.ListNotebookInstancesRequest
-
A filter that returns only notebook instances with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that retrieves only processing jobs with a specific status.
- withStatusEquals(ProcessingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListProcessingJobsRequest
-
A filter that retrieves only processing jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- withStatusEquals(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest
-
A filter that returns only training jobs with the specified status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- withStatusEquals(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific status.
- withStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- withStatusEquals(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsRequest
-
A filter that retrieves only transform jobs with a specific status.
- withStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
Returns a message describing the status of the deployed resource.
- withStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantStatus
-
A message that describes the status of the production variant.
- withStatusMessage(String) - Method in class com.amazonaws.services.sagemaker.model.SecondaryStatusTransition
-
A detailed description of the progress within a secondary status.
- withStatusReason(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The error message or client-specified
Reason from the
StopInferenceExperiment API, that explains the status of the inference experiment.
- withStatusReason(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The error message for the inference experiment status result.
- withStdDev(Double) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
The standard deviation of the metric.
- withStepDescription(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The description of the step.
- withStepDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The display name of the step.
- withStepId(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The identifier of the EMR cluster step.
- withStepName(String) - Method in class com.amazonaws.services.sagemaker.model.EMRStepMetadata
-
The name of the EMR cluster step.
- withStepName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The name of the step that is executed.
- withStepName(String) - Method in class com.amazonaws.services.sagemaker.model.SelectedStep
-
The name of the pipeline step.
- withSteps(InferenceRecommendationsJobStep...) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A list of all subtask details in Inference Recommender.
- withSteps(Collection<InferenceRecommendationsJobStep>) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsResult
-
A list of all subtask details in Inference Recommender.
- withStepStatus(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The status of the step execution.
- withStepStatus(StepStatus) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStep
-
The status of the step execution.
- withStepType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The type of the subtask.
- withStepType(RecommendationStepType) - Method in class com.amazonaws.services.sagemaker.model.InferenceRecommendationsJobStep
-
The type of the subtask.
- withStepType(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return details about the specified type of subtask.
- withStepType(RecommendationStepType) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest
-
A filter to return details about the specified type of subtask.
- withStopped(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobStatusCounters
-
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
Specifies a limit to how long a model compilation job can run.
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
- withStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
The time limit for how long the processing job is allowed to run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
Specifies a limit to how long a model compilation job can run.
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeDataQualityJobDefinitionResult
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelBiasJobDefinitionResult
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelExplainabilityJobDefinitionResult
-
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelQualityJobDefinitionResult
-
- withStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The time limit for how long the processing job is allowed to run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
Specifies a limit to how long a model hyperparameter training job can run.
- withStoppingCondition(MonitoringStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.MonitoringJobDefinition
-
Specifies a time limit for how long the monitoring job is allowed to run.
- withStoppingCondition(ProcessingStoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Specifies a limit to how long a model training job can run.
- withStoppingCondition(StoppingCondition) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
Specifies a limit to how long a model training job can run.
- withStoppingConditions(RecommendationJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
A set of conditions for stopping a recommendation job.
- withStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
A set of conditions for stopping the labeling job.
- withStoppingConditions(RecommendationJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceRecommendationsJobResult
-
The stopping conditions that you provided when you initiated the job.
- withStoppingConditions(LabelingJobStoppingConditions) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
A set of conditions for stopping a labeling job.
- withStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- withStrategy(HyperParameterTuningJobStrategyType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job
it launches.
- withStrategy(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each
iteration.
- withStrategy(HyperParameterTuningJobStrategyType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each
iteration.
- withStrategyConfig(HyperParameterTuningJobStrategyConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The configuration for the Hyperband optimization strategy.
- withStringValue(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentParameterValue
-
The string value of a categorical hyperparameter.
- withStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The App type that the Lifecycle Configuration is attached to.
- withStudioLifecycleConfigAppType(StudioLifecycleConfigAppType) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The App type that the Lifecycle Configuration is attached to.
- withStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The App type that the Lifecycle Configuration is attached to.
- withStudioLifecycleConfigAppType(StudioLifecycleConfigAppType) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The App type that the Lifecycle Configuration is attached to.
- withStudioLifecycleConfigAppType(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The App type to which the Lifecycle Configuration is attached.
- withStudioLifecycleConfigAppType(StudioLifecycleConfigAppType) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The App type to which the Lifecycle Configuration is attached.
- withStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigResult
-
The ARN of your created Lifecycle Configuration.
- withStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The ARN of the Lifecycle Configuration to describe.
- withStudioLifecycleConfigArn(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration.
- withStudioLifecycleConfigContent(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The content of your Studio Lifecycle Configuration script.
- withStudioLifecycleConfigContent(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The content of your Studio Lifecycle Configuration script.
- withStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to create.
- withStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to delete.
- withStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigRequest
-
The name of the Studio Lifecycle Configuration to describe.
- withStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeStudioLifecycleConfigResult
-
The name of the Studio Lifecycle Configuration that is described.
- withStudioLifecycleConfigName(String) - Method in class com.amazonaws.services.sagemaker.model.StudioLifecycleConfigDetails
-
The name of the Studio Lifecycle Configuration.
- withStudioLifecycleConfigs(StudioLifecycleConfigDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
A list of Lifecycle Configurations and their properties.
- withStudioLifecycleConfigs(Collection<StudioLifecycleConfigDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListStudioLifecycleConfigsResult
-
A list of Lifecycle Configurations and their properties.
- withSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The subdomain for your OIDC Identity Provider.
- withSubDomain(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The URI of the labeling job's user interface.
- withSubExpressions(SearchExpression...) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- withSubExpressions(Collection<SearchExpression>) - Method in class com.amazonaws.services.sagemaker.model.SearchExpression
-
A list of search expression objects.
- withSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
- withSubnetId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The ID of the VPC subnet.
- withSubnetIds(String...) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The VPC subnets that Studio uses for communication.
- withSubnetIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The VPC subnets that Studio uses for communication.
- withSubnetIds(String...) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The VPC subnets that Studio uses for communication.
- withSubnetIds(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The VPC subnets that Studio uses for communication.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in
Amazon S3.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.NeoVpcConfig
-
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in
Amazon S3.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The ID of the subnets in the VPC to which you want to connect your model.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobVpcConfig
-
The ID of the subnets in the VPC to which you want to connect your model.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.VpcConfig
-
The ID of the subnets in the VPC to which you want to connect your training job or model.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the subnets in the VPC that you want to connect.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the subnets in the VPC that you want to connect.
- withSubnets(String...) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the subnets in the VPC that you want to connect.
- withSubnets(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the subnets in the VPC that you want to connect.
- withSubscribedWorkteam(SubscribedWorkteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamResult
-
A Workteam instance that contains information about the work team.
- withSubscribedWorkteams(SubscribedWorkteam...) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withSubscribedWorkteams(Collection<SubscribedWorkteam>) - Method in class com.amazonaws.services.sagemaker.model.ListSubscribedWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withSucceeded(Integer) - Method in class com.amazonaws.services.sagemaker.model.ObjectiveStatusCounters
-
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used
in the hyperparameter tuning process.
- withSuccess(Boolean) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamResult
-
Returns true if the work team was successfully deleted; otherwise, returns false.
- withSuccessTopic(String) - Method in class com.amazonaws.services.sagemaker.model.AsyncInferenceNotificationConfig
-
Amazon SNS topic to post a notification to when inference completes successfully.
- withSuggestionQuery(SuggestionQuery) - Method in class com.amazonaws.services.sagemaker.model.GetSearchSuggestionsRequest
-
Limits the property names that are included in the response.
- withSupportedCompressionTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedCompressionTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedCompressionTypes(CompressionType...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed compression types, if data compression is used.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the input data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the input data.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The supported MIME types for the data.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the input data.
- withSupportedContentTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The supported MIME types for the input data.
- withSupportedContentTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobPayloadConfig
-
The supported MIME types for the input data.
- withSupportedEndpointType(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The endpoint type to receive recommendations for.
- withSupportedEndpointType(RecommendationJobSupportedEndpointType) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The endpoint type to receive recommendations for.
- withSupportedHyperParameters(HyperParameterSpecification...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- withSupportedHyperParameters(Collection<HyperParameterSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the HyperParameterSpecification objects, that define the supported hyperparameters.
- withSupportedInputModes(String...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedInputModes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedInputModes(TrainingInputMode...) - Method in class com.amazonaws.services.sagemaker.model.ChannelSpecification
-
The allowed input mode, either FILE or PIPE.
- withSupportedInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(ProductionVariantInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedRealtimeInferenceInstanceTypes(ProductionVariantInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types that are used to generate inferences in real-time.
- withSupportedResponseMIMETypes(String...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(String...) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The supported MIME types for the output data.
- withSupportedResponseMIMETypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The supported MIME types for the output data.
- withSupportedTrainingInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTrainingInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTrainingInstanceTypes(TrainingInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the instance types that this algorithm can use for training.
- withSupportedTransformInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(TransformInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.AdditionalInferenceSpecificationDefinition
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTransformInstanceTypes(TransformInstanceType...) - Method in class com.amazonaws.services.sagemaker.model.InferenceSpecification
-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
- withSupportedTuningJobObjectiveMetrics(HyperParameterTuningJobObjective...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- withSupportedTuningJobObjectiveMetrics(Collection<HyperParameterTuningJobObjective>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter
tuning job.
- withSupportsDistributedTraining(Boolean) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
Indicates whether the algorithm supports distributed training.
- withTableFormat(String) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Format for the offline store table.
- withTableFormat(TableFormat) - Method in class com.amazonaws.services.sagemaker.model.OfflineStoreConfig
-
Format for the offline store table.
- withTableName(String) - Method in class com.amazonaws.services.sagemaker.model.DataCatalogConfig
-
The name of the Glue table.
- withTabularJobConfig(TabularJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a tabular problem type (regression, classification).
- withTabularResolvedAttributes(TabularResolvedAttributes) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeResolvedAttributes
-
Defines the resolved attributes for the TABULAR problem type.
- withTagKeys(String...) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- withTagKeys(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.DeleteTagsRequest
-
An array or one or more tag keys to delete.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the SageMaker resource.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.AddTagsResult
-
A list of tags associated with the SageMaker resource.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of tags to apply to the action.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateActionRequest
-
A list of tags to apply to the action.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
A list of tags to apply to the AppImageConfig.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAppImageConfigRequest
-
A list of tags to apply to the AppImageConfig.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
Each tag consists of a key and an optional value.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
Each tag consists of a key and an optional value.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of tags to apply to the artifact.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateArtifactRequest
-
A list of tags to apply to the artifact.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateCodeRepositoryRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of tags to apply to the context.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateContextRequest
-
A list of tags to apply to the context.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDataQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Creates tags for the specified fleet.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDeviceFleetRequest
-
Creates tags for the specified fleet.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Tags to associated with the Domain.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
Tags to associated with the Domain.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of tags with which to tag the edge deployment plan.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgeDeploymentPlanRequest
-
List of tags with which to tag the edge deployment plan.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Creates tags for the packaging job.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEdgePackagingJobRequest
-
Creates tags for the packaging job.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointConfigRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateEndpointRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
A list of tags to associate with the experiment.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateExperimentRequest
-
A list of tags to associate with the experiment.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Tags used to identify Features in each FeatureGroup.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateFeatureGroupRequest
-
Tags used to identify Features in each FeatureGroup.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateFlowDefinitionRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
Any tags to associate with the hub.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHubRequest
-
Any tags to associate with the hub.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow
user interface.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow
user interface.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
A list of tags to apply to the image.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateImageRequest
-
A list of tags to apply to the image.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
Array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
Array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest
-
The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateLabelingJobRequest
-
An array of key/value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelBiasJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
Key-value pairs used to manage metadata for model cards.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelCardRequest
-
Key-value pairs used to manage metadata for model cards.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelExplainabilityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A list of key value pairs associated with the model group.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageGroupRequest
-
A list of key value pairs associated with the model group.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A list of key value pairs associated with the model.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
A list of key value pairs associated with the model.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelQualityJobDefinitionRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateMonitoringScheduleRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A list of tags to apply to the created pipeline.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreatePipelineRequest
-
A list of tags to apply to the created pipeline.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateProcessingJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateProjectRequest
-
An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
Tags to associated with the space.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateSpaceRequest
-
Tags to associated with the space.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
Tags to be associated with the Lifecycle Configuration.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateStudioLifecycleConfigRequest
-
Tags to be associated with the Lifecycle Configuration.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
(Optional) An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
A list of tags to associate with the component.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
A list of tags to associate with the component.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
A list of tags to associate with the trial.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
A list of tags to associate with the trial.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
Each tag consists of a key and an optional value.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
Each tag consists of a key and an optional value.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize our workforce.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
An array of key-value pairs that contain metadata to help you categorize and organize our workforce.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.DescribeLabelingJobResult
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the tags associated with the endpoint.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Endpoint
-
A list of the tags associated with the endpoint.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The list of tags that are associated with the experiment.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Experiment
-
The list of tags that are associated with the experiment.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
Tags used to define a FeatureGroup.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.FeatureGroup
-
Tags used to define a FeatureGroup.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The tags associated with a hyperparameter tuning job.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The tags associated with a hyperparameter tuning job.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
Any tags associated with the hub content.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ImportHubContentRequest
-
Any tags associated with the hub content.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ListTagsResult
-
An array of Tag objects, each with a tag key and a value.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A list of key-value pairs associated with the model.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Model
-
A list of key-value pairs associated with the model.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
Key-value pairs used to manage metadata for the model card.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelCard
-
Key-value pairs used to manage metadata for the model card.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The tags associated with a model card.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelDashboardModelCard
-
The tags associated with a model card.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of the tags associated with the model package.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
A list of the tags associated with the model package.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
A list of the tags associated with the model group.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageGroup
-
A list of the tags associated with the model group.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
A list of the tags associated with the monitoring schedlue.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.MonitoringSchedule
-
A list of the tags associated with the monitoring schedlue.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
A list of tags that apply to the pipeline.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Pipeline
-
A list of tags that apply to the pipeline.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Project
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Project
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The tags associated with devices.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.RegisterDevicesRequest
-
The tags associated with devices.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
An array of key-value pairs.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A list of tags associated with the transform job.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
A list of tags associated with the transform job.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The list of tags that are associated with the trial.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The list of tags that are associated with the trial.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The list of tags that are associated with the component.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The list of tags that are associated with the component.
- withTags(Tag...) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
An array of key-value pairs.
- withTags(Collection<Tag>) - Method in class com.amazonaws.services.sagemaker.model.UpdateProjectRequest
-
An array of key-value pairs.
- withTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLChannel
-
The name of the target variable in supervised learning, usually represented by 'y'.
- withTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TabularJobConfig
-
The name of the target variable in supervised learning, usually represented by 'y'.
- withTargetAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column representing the target variable that you want to predict for each item in your dataset.
- withTargetCpuUtilizationPerCore(Integer) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationRequest
-
The percentage of how much utilization you want an instance to use before autoscaling.
- withTargetCpuUtilizationPerCore(Integer) - Method in class com.amazonaws.services.sagemaker.model.GetScalingConfigurationRecommendationResult
-
The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the
request.
- withTargetDevice(String) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the target device or the machine learning instance that you want to run your model on after the
compilation has completed.
- withTargetDevice(TargetDevice) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Identifies the target device or the machine learning instance that you want to run your model on after the
compilation has completed.
- withTargetLabelColumn(String) - Method in class com.amazonaws.services.sagemaker.model.TextClassificationJobConfig
-
The name of the column used to provide the class labels.
- withTargetObjectiveMetricValue(Float) - Method in class com.amazonaws.services.sagemaker.model.TuningJobCompletionCriteria
-
The value of the objective metric.
- withTargetPlatform(TargetPlatform) - Method in class com.amazonaws.services.sagemaker.model.OutputConfig
-
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
- withTargetTracking(TargetTrackingScalingPolicyConfiguration) - Method in class com.amazonaws.services.sagemaker.model.ScalingPolicy
-
A target tracking scaling policy.
- withTargetValue(Double) - Method in class com.amazonaws.services.sagemaker.model.TargetTrackingScalingPolicyConfiguration
-
The recommended target value to specify for the metric when creating a scaling policy.
- withTask(String) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
The machine learning task your model package accomplishes.
- withTask(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
The machine learning task you specified that your model package accomplishes.
- withTask(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataSummary
-
The machine learning task of the model.
- withTask(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
The machine learning task your model package accomplishes.
- withTask(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig
-
The machine learning task that the model accomplishes.
- withTask(RenderableTask) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A RenderableTask object containing a representative task to render.
- withTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The length of time that a task remains available for review by human workers.
- withTaskAvailabilityLifetimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The length of time that a task remains available for labeling by human workers.
- withTaskCount(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The number of distinct workers who will perform the same task on each object.
- withTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A description for the human worker task.
- withTaskDescription(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A description of the task for your human workers.
- withTaskKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Keywords used to describe the task so that workers can discover the task.
- withTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Keywords used to describe the task so that workers can discover the task.
- withTaskKeywords(String...) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- withTaskKeywords(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
- withTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
The amount of time that a worker has to complete a task.
- withTaskTimeLimitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The amount of time that a worker has to complete a task.
- withTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
A title for the human worker task.
- withTaskTitle(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
A title for the task for your human workers.
- withTensorBoardAppSettings(TensorBoardAppSettings) - Method in class com.amazonaws.services.sagemaker.model.UserSettings
-
The TensorBoard app settings.
- withTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
- withTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
- withTensorBoardOutputConfig(TensorBoardOutputConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
- withTenthFractionsOfACent(Integer) - Method in class com.amazonaws.services.sagemaker.model.USD
-
Fractions of a cent, in tenths.
- withTerminationWaitInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old
endpoint fleet.
- withTextClassificationJobConfig(TextClassificationJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for the text classification problem type.
- withTextConfig(ClarifyTextConfig) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
- withTimeSeriesConfig(TimeSeriesConfig) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The collection of components that defines the time-series.
- withTimeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLProblemTypeConfig
-
Settings used to configure an AutoML job V2 for a time-series forecasting problem type.
- withTimeSeriesForecastingSettings(TimeSeriesForecastingSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
Time series forecast settings for the Canvas application.
- withTimestamp(Date) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The date and time that the algorithm emitted the metric.
- withTimeStamp(Date) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentMetricSummary
-
When the metric was last updated.
- withTimestampAttributeName(String) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesConfig
-
The name of the column indicating a point in time at which the target value of a given item is recorded.
- withTokenEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP token endpoint used to configure your private workforce.
- withTokenEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP token endpoint used to configure your private workforce.
- withTotal(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCountersForWorkteam
-
The total number of tasks in the labeling job.
- withTotalLabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects labeled.
- withTrafficPattern(TrafficPattern) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Specifies the traffic pattern of the job.
- withTrafficRoutingConfiguration(TrafficRoutingConfig) - Method in class com.amazonaws.services.sagemaker.model.BlueGreenUpdatePolicy
-
Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint
deployment.
- withTrafficType(String) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the traffic patterns.
- withTrafficType(TrafficType) - Method in class com.amazonaws.services.sagemaker.model.TrafficPattern
-
Defines the traffic patterns.
- withTrainingChannels(ChannelSpecification...) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- withTrainingChannels(Collection<ChannelSpecification>) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
Specifies the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job ends on training instances.
- withTrainingEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
A timestamp that shows when the training job ended.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
The registry path of the Docker image that contains the training algorithm.
- withTrainingImage(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
The Amazon ECR registry path of the Docker image that contains the training algorithm.
- withTrainingImageConfig(TrainingImageConfig) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
The configuration to use an image from a private Docker registry for a training job.
- withTrainingImageDigest(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingSpecification
-
An MD5 hash of the training algorithm that identifies the Docker image used for training.
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmSpecification
-
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterAlgorithmSpecification
-
- withTrainingInputMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- withTrainingInputMode(TrainingInputMode) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobDefinition
-
- withTrainingJob(TrainingJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
- withTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a training job.
- withTrainingJob(TrainingJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a training job that's the source of a trial component.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeProcessingJobResult
-
The ARN of a training job associated with this processing job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingJob
-
The ARN of the training job associated with this processing job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobResult
-
The Amazon Resource Name (ARN) of the training job.
- withTrainingJobDefinition(TrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TrainingJobDefinition object that describes the training job that SageMaker runs to validate
your algorithm.
- withTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
The
HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches,
including static hyperparameters, input data configuration, output data configuration, resource configuration,
and stopping condition.
- withTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withTrainingJobDefinition(HyperParameterTrainingJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withTrainingJobDefinitionName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The training job definition name.
- withTrainingJobDefinitions(HyperParameterTrainingJobDefinition...) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
- withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
- withTrainingJobDefinitions(HyperParameterTrainingJobDefinition...) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
- withTrainingJobDefinitions(HyperParameterTrainingJobDefinition...) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The job definitions included in a hyperparameter tuning job.
- withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
The job definitions included in a hyperparameter tuning job.
- withTrainingJobEarlyStoppingType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- withTrainingJobEarlyStoppingType(TrainingJobEarlyStoppingType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobRequest
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Name of the model training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTrainingJobRequest
-
The name of the training job to stop.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The name of the training job.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The name of the training job that you want a summary for.
- withTrainingJobName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrainingJobRequest
-
The name of a training job to update the Debugger profiling configuration.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The status of the training job.
- withTrainingJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- withTrainingJobStatus(TrainingJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the training job.
- withTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The
TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this
tuning job launched.
- withTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withTrainingJobStatusCounters(TrainingJobStatusCounters) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSummary
-
The
TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that
this tuning job launched.
- withTrainingJobSummaries(HyperParameterTrainingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary
objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob
request returned.
- withTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResult
-
A list of
TrainingJobSummary
objects that describe the training jobs that the
ListTrainingJobsForHyperParameterTuningJob
request returned.
- withTrainingJobSummaries(TrainingJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- withTrainingJobSummaries(Collection<TrainingJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsResult
-
An array of TrainingJobSummary objects, each listing a training job.
- withTrainingRepositoryAccessMode(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
The method that your training job will use to gain access to the images in your private Docker registry.
- withTrainingRepositoryAccessMode(TrainingRepositoryAccessMode) - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
The method that your training job will use to gain access to the images in your private Docker registry.
- withTrainingRepositoryAuthConfig(TrainingRepositoryAuthConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingImageConfig
-
An object containing authentication information for a private Docker registry containing your training images.
- withTrainingRepositoryCredentialsProviderArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingRepositoryAuthConfig
-
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function used to give SageMaker access
credentials to your private Docker registry.
- withTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies details about training jobs run by this algorithm, including the following:
- withTrainingSpecification(TrainingSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about training jobs run by this algorithm.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
Indicates the time when the training job starts on training instances.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The date and time that the training job started.
- withTrainingStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
Indicates the time when the training job starts on training instances.
- withTrainingTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The training time in seconds.
- withTrainingTimeInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The training time in seconds.
- withTransformations(TimeSeriesTransformations) - Method in class com.amazonaws.services.sagemaker.model.TimeSeriesForecastingJobConfig
-
The transformations modifying specific attributes of the time-series, such as filling strategies for missing
values.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job has been completed, or has stopped or failed.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job has been completed, or has stopped or failed.
- withTransformEndTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
Indicates when the transform job ends on compute instances.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the input source and the way the transform job consumes it.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the dataset to be transformed and the Amazon S3 location where it is stored.
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withTransformInput(TransformInput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
A description of the input source and the way the transform job consumes it.
- withTransformJob(TransformJobStepMetadata) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
- withTransformJob(TransformJob) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSourceDetail
-
Information about a transform job that's the source of a trial component.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The Amazon Resource Name (ARN) of the transform job.
- withTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationProfile
-
The TransformJobDefinition object that describes the transform job that SageMaker runs to validate
your algorithm.
- withTransformJobDefinition(TransformJobDefinition) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationProfile
-
The TransformJobDefinition object that describes the transform job used for the validation of the
model package.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
The name of the transform job.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobRequest
-
The name of the transform job that you want to view details of.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The name of the transform job.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.StopTransformJobRequest
-
The name of the batch transform job to stop.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The name of the transform job.
- withTransformJobName(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The name of the transform job.
- withTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- withTransformJobStatus(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
The status of the transform job.
- withTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The status of the transform job.
- withTransformJobStatus(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
The status of the transform job.
- withTransformJobStatus(String) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- withTransformJobStatus(TransformJobStatus) - Method in class com.amazonaws.services.sagemaker.model.TransformJobSummary
-
The status of the transform job.
- withTransformJobSummaries(TransformJobSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- withTransformJobSummaries(Collection<TransformJobSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTransformJobsResult
-
An array of TransformJobSummary objects.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the results of the transform job.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withTransformOutput(TransformOutput) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.CreateTransformJobRequest
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Describes the resources, including ML instance types and ML instance count, to use for the transform job.
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
- withTransformResources(TransformResources) - Method in class com.amazonaws.services.sagemaker.model.TransformJobDefinition
-
Identifies the ML compute instances for the transform job.
- withTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.DescribeTransformJobResult
-
Indicates when the transform job starts on ML instances.
- withTransformStartTime(Date) - Method in class com.amazonaws.services.sagemaker.model.TransformJob
-
Indicates when the transform job starts on ML instances.
- withTrial(Trial) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialResult
-
The Amazon Resource Name (ARN) of the trial that is being deleted.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The Amazon Resource Name (ARN) of the trial.
- withTrialArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialResult
-
The Amazon Resource Name (ARN) of the trial.
- withTrialComponent(TrialComponent) - Method in class com.amazonaws.services.sagemaker.model.SearchRecord
-
The properties of a trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentResult
-
The Amazon Resource Name (ARN) of the component is being deleted.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentResult
-
The Amazon Resource Name (ARN) of the trial component.
- withTrialComponentDisplayName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The display name for the trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the component to associated with the trial.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialComponentRequest
-
The name of the component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialComponentRequest
-
The name of the component to delete.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentRequest
-
The name of the trial component to describe.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialComponentResult
-
The name of the trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the component to disassociate from the trial.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsRequest
-
A filter that returns only trials that are associated with the specified trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponent
-
The name of the trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
The name of the trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
The name of the trial component.
- withTrialComponentName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialComponentRequest
-
The name of the component to update.
- withTrialComponentSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSimpleSummary
-
- withTrialComponentSource(TrialComponentSource) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentSummary
-
- withTrialComponentSummaries(TrialComponentSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A list of the summaries of your trial components.
- withTrialComponentSummaries(Collection<TrialComponentSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsResult
-
A list of the summaries of your trial components.
- withTrialComponentSummaries(TrialComponentSimpleSummary...) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
A list of the components associated with the trial.
- withTrialComponentSummaries(Collection<TrialComponentSimpleSummary>) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
A list of the components associated with the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.AssociateTrialComponentRequest
-
The name of the trial to associate with.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateTrialRequest
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteTrialRequest
-
The name of the trial to delete.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialRequest
-
The name of the trial to describe.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrialResult
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.DisassociateTrialComponentRequest
-
The name of the trial to disassociate from.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.ExperimentConfig
-
The name of an existing trial to associate the trial component with.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrialComponentsRequest
-
A filter that returns only components that are part of the specified trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.Parent
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineExperimentConfig
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.Trial
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
The name of the trial.
- withTrialName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateTrialRequest
-
The name of the trial to update.
- withTrialSource(TrialSource) - Method in class com.amazonaws.services.sagemaker.model.TrialSummary
-
- withTrialSummaries(TrialSummary...) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A list of the summaries of your trials.
- withTrialSummaries(Collection<TrialSummary>) - Method in class com.amazonaws.services.sagemaker.model.ListTrialsResult
-
A list of the summaries of your trials.
- withTtlDuration(TtlDuration) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfig
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- withTtlDuration(TtlDuration) - Method in class com.amazonaws.services.sagemaker.model.OnlineStoreConfigUpdate
-
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt = EventTime + TtlDuration.
- withTunedHyperParameters(Map<String, String>) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
A list of the hyperparameters for which you specified ranges to search.
- withTuningJob(TuningJobStepMetaData) - Method in class com.amazonaws.services.sagemaker.model.PipelineExecutionStepMetadata
-
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
- withTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- withTuningJobArn(String) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a
hyperparameter tuning job.
- withTuningJobCompletionCriteria(TuningJobCompletionCriteria) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobConfig
-
The tuning job's completion criteria.
- withTuningJobCompletionDetails(HyperParameterTuningJobCompletionDetails) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
Tuning job completion information returned as the response from a hyperparameter tuning job.
- withTuningJobCompletionDetails(HyperParameterTuningJobCompletionDetails) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
Information about either a current or completed hyperparameter tuning job.
- withTuningJobName(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary
-
The HyperParameter tuning job that launched the training job.
- withTuningObjective(HyperParameterTuningJobObjective) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Specifies the endpoint capacity type.
- withType(CapacitySizeType) - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Specifies the endpoint capacity type.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The type of the inference experiment that you want to run.
- withType(InferenceExperimentType) - Method in class com.amazonaws.services.sagemaker.model.CreateInferenceExperimentRequest
-
The type of the inference experiment that you want to run.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The type of the inference experiment.
- withType(InferenceExperimentType) - Method in class com.amazonaws.services.sagemaker.model.DescribeInferenceExperimentResult
-
The type of the inference experiment.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The deployment type created by SageMaker Edge Manager.
- withType(EdgePresetDeploymentType) - Method in class com.amazonaws.services.sagemaker.model.EdgePresetDeploymentOutput
-
The deployment type created by SageMaker Edge Manager.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The type of metric with the best result.
- withType(AutoMLJobObjectiveType) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The type of metric with the best result.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
- withType(HyperParameterTuningJobObjectiveType) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- withType(ParameterType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterSpecification
-
The type of this hyperparameter.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- withType(HyperParameterTuningJobObjectiveType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobObjective
-
Whether to minimize or maximize the objective metric.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The type of the inference experiment.
- withType(InferenceExperimentType) - Method in class com.amazonaws.services.sagemaker.model.InferenceExperimentSummary
-
The type of the inference experiment.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments of this type.
- withType(InferenceExperimentType) - Method in class com.amazonaws.services.sagemaker.model.ListInferenceExperimentsRequest
-
Selects inference experiments of this type.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Traffic routing strategy type.
- withType(TrafficRoutingConfigType) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
Traffic routing strategy type.
- withType(String) - Method in class com.amazonaws.services.sagemaker.model.Vertex
-
The type of the lineage entity resource.
- withTypes(String...) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn by type.
- withTypes(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.QueryFilters
-
Filter the lineage entities connected to the StartArn by type.
- withUiConfig(UiConfig) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
Information about the user interface that workers use to complete the labeling task.
- withUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.CreateHumanTaskUiRequest
-
- withUiTemplate(UiTemplateInfo) - Method in class com.amazonaws.services.sagemaker.model.DescribeHumanTaskUiResult
-
- withUiTemplate(UiTemplate) - Method in class com.amazonaws.services.sagemaker.model.RenderUiTemplateRequest
-
A Template object containing the worker UI template to render.
- withUiTemplateS3Uri(String) - Method in class com.amazonaws.services.sagemaker.model.UiConfig
-
The Amazon S3 bucket location of the UI template, or worker task template.
- withUnit(String) - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time unit.
- withUnit(TtlDurationUnit) - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time unit.
- withUnlabeled(Integer) - Method in class com.amazonaws.services.sagemaker.model.LabelCounters
-
The total number of objects not yet labeled.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainResult
-
The URL to the created domain.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The domain's URL.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.DomainDetails
-
The domain's URL.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.NotebookInstanceSummary
-
The URL that you use to connect to the Jupyter notebook running in your notebook instance.
- withUrl(String) - Method in class com.amazonaws.services.sagemaker.model.UiTemplateInfo
-
The URL for the user interface template.
- withUseLogit(Boolean) - Method in class com.amazonaws.services.sagemaker.model.ClarifyShapConfig
-
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model
predictions.
- withUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user group.
- withUserGroup(String) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
The level of permissions that the user has within the RStudioServerPro app.
- withUserGroup(RStudioServerProUserGroup) - Method in class com.amazonaws.services.sagemaker.model.RStudioServerProAppSettings
-
The level of permissions that the user has within the RStudioServerPro app.
- withUserInfoEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfig
-
The OIDC IdP user information endpoint used to configure your private workforce.
- withUserInfoEndpoint(String) - Method in class com.amazonaws.services.sagemaker.model.OidcConfigForResponse
-
The OIDC IdP user information endpoint used to configure your private workforce.
- withUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoConfig
-
A
user
pool is a user directory in Amazon Cognito.
- withUserPool(String) - Method in class com.amazonaws.services.sagemaker.model.CognitoMemberDefinition
-
An identifier for a user pool.
- withUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- withUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- withUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileResult
-
The user profile Amazon Resource Name (ARN).
- withUserProfileArn(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The Amazon Resource Name (ARN) of the user's profile.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.AppDetails
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateAppRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreatePresignedDomainUrlRequest
-
The name of the UserProfile to sign-in as.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A name for the UserProfile.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteAppRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteUserProfileRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeAppResult
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
The user profile name.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UserContext
-
The name of the user's profile.
- withUserProfileName(String) - Method in class com.amazonaws.services.sagemaker.model.UserProfileDetails
-
The user profile name.
- withUserProfileNameContains(String) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesRequest
-
A parameter by which to filter the results.
- withUserProfileNameEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListAppsRequest
-
A parameter to search by user profile name.
- withUserProfiles(UserProfileDetails...) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
The list of user profiles.
- withUserProfiles(Collection<UserProfileDetails>) - Method in class com.amazonaws.services.sagemaker.model.ListUserProfilesResult
-
The list of user profiles.
- withUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.CreateUserProfileRequest
-
A collection of settings.
- withUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.DescribeUserProfileResult
-
A collection of settings.
- withUserSettings(UserSettings) - Method in class com.amazonaws.services.sagemaker.model.UpdateUserProfileRequest
-
A collection of settings.
- withUsersPerStep(Integer) - Method in class com.amazonaws.services.sagemaker.model.Stairs
-
Specifies how many new users to spawn in each step.
- withValidationFraction(Float) - Method in class com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig
-
The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for
validation.
- withValidationProfiles(AlgorithmValidationProfile...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that SageMaker runs to validate your algorithm.
- withValidationProfiles(Collection<AlgorithmValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch
transform job that SageMaker runs to validate your algorithm.
- withValidationProfiles(ModelPackageValidationProfile...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that SageMaker runs to validate your model package.
- withValidationProfiles(Collection<ModelPackageValidationProfile>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job
that SageMaker runs to validate your model package.
- withValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmValidationSpecification
-
The IAM roles that SageMaker uses to run the training jobs.
- withValidationRole(String) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageValidationSpecification
-
The IAM roles to be used for the validation of the model package.
- withValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest
-
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training
code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference
code.
- withValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.CreateModelPackageRequest
-
Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
- withValidationSpecification(AlgorithmValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeAlgorithmResult
-
Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
- withValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelPackageResult
-
Configurations for one or more transform jobs that SageMaker runs to test the model package.
- withValidationSpecification(ModelPackageValidationSpecification) - Method in class com.amazonaws.services.sagemaker.model.ModelPackage
-
Specifies batch transform jobs that SageMaker runs to validate your model package.
- withValidationStatuses(AlgorithmStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- withValidationStatuses(Collection<AlgorithmStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.AlgorithmStatusDetails
-
The status of algorithm validation.
- withValidationStatuses(ModelPackageStatusItem...) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- withValidationStatuses(Collection<ModelPackageStatusItem>) - Method in class com.amazonaws.services.sagemaker.model.ModelPackageStatusDetails
-
The validation status of the model package.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.ArtifactSourceType
-
The ID.
- withValue(Integer) - Method in class com.amazonaws.services.sagemaker.model.CapacitySize
-
Defines the capacity size, either as a number of instances or a capacity percentage.
- withValue(String...) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The list of values you can pass.
- withValue(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameter
-
The list of values you can pass.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value suggested by the Amazon SageMaker Inference Recommender.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.FeatureParameter
-
The value that belongs to a key.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.Filter
-
A value used with Name and Operator to determine which resources satisfy the filter's
condition.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalAutoMLJobObjectiveMetric
-
The value of the metric with the best result.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.FinalHyperParameterTuningJobObjectiveMetric
-
The value of the objective metric.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricData
-
The value of the metric.
- withValue(Float) - Method in class com.amazonaws.services.sagemaker.model.MetricDatum
-
The value of the metric.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.ModelMetadataFilter
-
The value to filter the model metadata.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.OutputParameter
-
The value of the output parameter.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.Parameter
-
The literal value for the parameter.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.ProvisioningParameter
-
The value of the provisioning parameter.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.Tag
-
The tag value.
- withValue(String) - Method in class com.amazonaws.services.sagemaker.model.TrialComponentArtifact
-
The location of the artifact.
- withValue(Integer) - Method in class com.amazonaws.services.sagemaker.model.TtlDuration
-
TtlDuration time value.
- withValueHint(String) - Method in class com.amazonaws.services.sagemaker.model.AutoParameter
-
An example value of the hyperparameter to optimize using Autotune.
- withValueInMilliseconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.ModelLatencyThreshold
-
The model latency percentile value in milliseconds.
- withValues(String...) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- withValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRange
-
A list of the categories for the hyperparameter.
- withValues(String...) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- withValues(Collection<String>) - Method in class com.amazonaws.services.sagemaker.model.CategoricalParameterRangeSpecification
-
The allowed categories for the hyperparameter.
- withValueType(String) - Method in class com.amazonaws.services.sagemaker.model.EnvironmentParameter
-
The value type suggested by the Amazon SageMaker Inference Recommender.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.DesiredWeightAndCapacity
-
The name of the variant to update.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.EndpointOutputConfiguration
-
The name of the production variant (deployed model) made during a recommendation job.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfig
-
The name of the variant.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ModelVariantConfigSummary
-
The name of the variant.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The name of the variant.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The name of the production variant.
- withVariantName(String) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The name of the variant.
- withVariantPropertyType(String) - Method in class com.amazonaws.services.sagemaker.model.VariantProperty
-
The type of variant property.
- withVariantPropertyType(VariantPropertyType) - Method in class com.amazonaws.services.sagemaker.model.VariantProperty
-
The type of variant property.
- withVariantStatus(ProductionVariantStatus...) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withVariantStatus(Collection<ProductionVariantStatus>) - Method in class com.amazonaws.services.sagemaker.model.PendingProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withVariantStatus(ProductionVariantStatus...) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withVariantStatus(Collection<ProductionVariantStatus>) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariantSummary
-
The endpoint variant status which describes the current deployment stage status or operational status.
- withVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The stability of the image version, specified by the maintainer.
- withVendorGuidance(VendorGuidance) - Method in class com.amazonaws.services.sagemaker.model.CreateImageVersionRequest
-
The stability of the image version, specified by the maintainer.
- withVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The stability of the image version specified by the maintainer.
- withVendorGuidance(VendorGuidance) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The stability of the image version specified by the maintainer.
- withVendorGuidance(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The availability of the image version specified by the maintainer.
- withVendorGuidance(VendorGuidance) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The availability of the image version specified by the maintainer.
- withVersion(String) - Method in class com.amazonaws.services.sagemaker.model.AgentVersion
-
Version of the agent.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DeleteImageVersionRequest
-
The version to delete.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionRequest
-
The version of the image.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeImageVersionResult
-
The version number.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ImageVersion
-
The version number.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.ListAliasesRequest
-
The version of the image.
- withVersion(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateImageVersionRequest
-
The version of the image.
- withVersionId(String) - Method in class com.amazonaws.services.sagemaker.model.PipelineDefinitionS3Location
-
Version Id of the pipeline definition file.
- withVertices(Vertex...) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of vertices connected to the start entity(ies) in the lineage graph.
- withVertices(Collection<Vertex>) - Method in class com.amazonaws.services.sagemaker.model.QueryLineageResult
-
A list of vertices connected to the start entity(ies) in the lineage graph.
- withViolationReport(String) - Method in class com.amazonaws.services.sagemaker.model.ClarifyCheckStepMetadata
-
The Amazon S3 URI of the violation report if violations are detected.
- withViolationReport(String) - Method in class com.amazonaws.services.sagemaker.model.QualityCheckStepMetadata
-
The Amazon S3 URI of violation report if violations are detected.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The key used to encrypt stored data.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the
compute instances used to run the training job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference
jobs used for automated data labeling.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the
endpoint.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML
compute instance(s) that run the training job.
- withVolumeKmsKeyId(String) - Method in class com.amazonaws.services.sagemaker.model.TransformResources
-
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to
encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.CreateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DebugRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.DescribeNotebookInstanceResult
-
The size, in GB, of the ML storage volume attached to the notebook instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningInstanceConfig
-
The volume size in GB of the data to be processed for hyperparameter optimization (optional).
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningResourceConfig
-
The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs
(optional).
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.MonitoringClusterConfig
-
The size of the ML storage volume, in gigabytes, that you want to provision.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProcessingClusterConfig
-
The size of the ML storage volume in gigabytes that you want to provision.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProductionVariant
-
The size, in GB, of the ML storage volume attached to individual inference instance associated with the
production variant.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ProfilerRuleConfiguration
-
The size, in GB, of the ML storage volume attached to the processing instance.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.ResourceConfig
-
The size of the ML storage volume that you want to provision.
- withVolumeSizeInGB(Integer) - Method in class com.amazonaws.services.sagemaker.model.UpdateNotebookInstanceRequest
-
The size, in GB, of the ML storage volume to attach to the notebook instance.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.AutoMLSecurityConfig
-
The VPC configuration.
- withVpcConfig(NeoVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateCompilationJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateModelRequest
-
A
VpcConfig object
that specifies the VPC that you want your model to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest
-
A
VpcConfig object
that specifies the VPC that you want your training job to connect to.
- withVpcConfig(NeoVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeCompilationJobResult
-
A
VpcConfig object
that specifies the VPC that you want your compilation job to connect to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeModelResult
-
A
VpcConfig object
that specifies the VPC that this model has access to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobDefinition
-
The
VpcConfig object
that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect
to.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobResourceConfig
-
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.Model
-
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.MonitoringNetworkConfig
-
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.NetworkConfig
-
- withVpcConfig(RecommendationJobVpcConfig) - Method in class com.amazonaws.services.sagemaker.model.RecommendationJobInputConfig
-
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
- withVpcConfig(VpcConfig) - Method in class com.amazonaws.services.sagemaker.model.TrainingJob
-
A
VpcConfig object
that specifies the VPC that this training job has access to.
- withVpcEndpointId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
- withVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.CreateDomainRequest
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- withVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeDomainResult
-
The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
- withVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
The ID of the VPC that the workforce uses for communication.
- withVpcId(String) - Method in class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
The ID of the VPC that the workforce uses for communication.
- withWaitIntervalInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.RollingUpdatePolicy
-
The length of the baking period, during which SageMaker monitors alarms for each batch on the new fleet.
- withWaitIntervalInSeconds(Integer) - Method in class com.amazonaws.services.sagemaker.model.TrafficRoutingConfig
-
The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
- withWarmPoolStatus(WarmPoolStatus) - Method in class com.amazonaws.services.sagemaker.model.DescribeTrainingJobResult
-
The status of the warm pool associated with the training job.
- withWarmPoolStatus(WarmPoolStatus) - Method in class com.amazonaws.services.sagemaker.model.TrainingJobSummary
-
The status of the warm pool associated with the training job.
- withWarmPoolStatusEquals(String) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific warm pool status.
- withWarmPoolStatusEquals(WarmPoolResourceStatus) - Method in class com.amazonaws.services.sagemaker.model.ListTrainingJobsRequest
-
A filter that retrieves only training jobs with a specific warm pool status.
- withWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.CreateHyperParameterTuningJobRequest
-
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as
a starting point.
- withWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.DescribeHyperParameterTuningJobResult
-
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as
a starting point.
- withWarmStartConfig(HyperParameterTuningJobWarmStartConfig) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobSearchEntity
-
- withWarmStartType(String) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- withWarmStartType(HyperParameterTuningJobWarmStartType) - Method in class com.amazonaws.services.sagemaker.model.HyperParameterTuningJobWarmStartConfig
-
Specifies one of the following:
- withWorkforce(Workforce) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceResult
-
A single private workforce, which is automatically created when you create your first private work team.
- withWorkforce(Workforce) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceResult
-
A single private workforce.
- withWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceResult
-
The Amazon Resource Name (ARN) of the workforce.
- withWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The Amazon Resource Name (ARN) of the private workforce.
- withWorkforceArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) of the workforce.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
The name of the private workforce.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the workforce.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkforceRequest
-
The name of the workforce.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkforceRequest
-
The name of the private workforce whose access you want to restrict.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
The name of the private workforce that you want to update.
- withWorkforceName(String) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The name of the private workforce.
- withWorkforces(Workforce...) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A list containing information about your workforce.
- withWorkforces(Collection<Workforce>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkforcesResult
-
A list containing information about your workforce.
- withWorkforceVpcConfig(WorkforceVpcConfigRequest) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkforceRequest
-
Use this parameter to configure a workforce using VPC.
- withWorkforceVpcConfig(WorkforceVpcConfigRequest) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkforceRequest
-
Use this parameter to update your VPC configuration for a workforce.
- withWorkforceVpcConfig(WorkforceVpcConfigResponse) - Method in class com.amazonaws.services.sagemaker.model.Workforce
-
The configuration of a VPC workforce.
- withWorkGroup(String) - Method in class com.amazonaws.services.sagemaker.model.AthenaDatasetDefinition
-
- withWorkRequesterAccountId(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobForWorkteamSummary
-
The Amazon Web Services account ID of the account used to start the labeling job.
- withWorkspaceSettings(WorkspaceSettings) - Method in class com.amazonaws.services.sagemaker.model.CanvasAppSettings
-
The workspace settings for the SageMaker Canvas application.
- withWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamResult
-
A Workteam instance that contains information about the work team.
- withWorkteam(Workteam) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamResult
-
A Workteam object that describes the updated work team.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamResult
-
The Amazon Resource Name (ARN) of the work team.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeSubscribedWorkteamRequest
-
The Amazon Resource Name (ARN) of the subscribed work team to describe.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanLoopConfig
-
Amazon Resource Name (ARN) of a team of workers.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.HumanTaskConfig
-
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.LabelingJobSummary
-
The Amazon Resource Name (ARN) of the work team assigned to the job.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.ListLabelingJobsForWorkteamRequest
-
The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.SubscribedWorkteam
-
The Amazon Resource Name (ARN) of the vendor that you have subscribed.
- withWorkteamArn(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The Amazon Resource Name (ARN) that identifies the work team.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.CreateWorkteamRequest
-
The name of the work team.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DeleteWorkteamRequest
-
The name of the work team to delete.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.DescribeWorkteamRequest
-
The name of the work team to return a description of.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.UpdateWorkteamRequest
-
The name of the work team to update.
- withWorkteamName(String) - Method in class com.amazonaws.services.sagemaker.model.Workteam
-
The name of the work team.
- withWorkteams(Workteam...) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- withWorkteams(Collection<Workteam>) - Method in class com.amazonaws.services.sagemaker.model.ListWorkteamsResult
-
An array of Workteam objects, each describing a work team.
- Workforce - Class in com.amazonaws.services.sagemaker.model
-
A single private workforce, which is automatically created when you create your first private work team.
- Workforce() - Constructor for class com.amazonaws.services.sagemaker.model.Workforce
-
- WorkforceStatus - Enum in com.amazonaws.services.sagemaker.model
-
- WorkforceVpcConfigRequest - Class in com.amazonaws.services.sagemaker.model
-
The VPC object you use to create or update a workforce.
- WorkforceVpcConfigRequest() - Constructor for class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigRequest
-
- WorkforceVpcConfigResponse - Class in com.amazonaws.services.sagemaker.model
-
A VpcConfig object that specifies the VPC that you want your workforce to connect to.
- WorkforceVpcConfigResponse() - Constructor for class com.amazonaws.services.sagemaker.model.WorkforceVpcConfigResponse
-
- WorkspaceSettings - Class in com.amazonaws.services.sagemaker.model
-
The workspace settings for the SageMaker Canvas application.
- WorkspaceSettings() - Constructor for class com.amazonaws.services.sagemaker.model.WorkspaceSettings
-
- Workteam - Class in com.amazonaws.services.sagemaker.model
-
Provides details about a labeling work team.
- Workteam() - Constructor for class com.amazonaws.services.sagemaker.model.Workteam
-