| Package | Description |
|---|---|
| com.amazonaws.services.sagemaker |
Provides APIs for creating and managing SageMaker resources.
|
| com.amazonaws.services.sagemaker.model | |
| com.amazonaws.services.sagemaker.waiters |
| Class and Description |
|---|
| ActionSource
A structure describing the source of an action.
|
| ActionStatus |
| ActionSummary
Lists the properties of an action.
|
| AddAssociationRequest |
| AddAssociationResult |
| AdditionalInferenceSpecificationDefinition
A structure of additional Inference Specification.
|
| AddTagsRequest |
| AddTagsResult |
| AgentVersion
Edge Manager agent version.
|
| AggregationTransformationValue |
| Alarm
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
|
| AlgorithmSortBy |
| AlgorithmSpecification
Specifies the training algorithm to use in a CreateTrainingJob
request.
|
| AlgorithmStatus |
| AlgorithmStatusDetails
Specifies the validation and image scan statuses of the algorithm.
|
| AlgorithmStatusItem
Represents the overall status of an algorithm.
|
| AlgorithmSummary
Provides summary information about an algorithm.
|
| AlgorithmValidationProfile
Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.
|
| AlgorithmValidationSpecification
Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
|
| AmazonSageMakerException
Base exception for all service exceptions thrown by Amazon SageMaker Service
|
| AnnotationConsolidationConfig
Configures how labels are consolidated across human workers and processes output data.
|
| AppDetails
Details about an Amazon SageMaker app.
|
| AppImageConfigDetails
The configuration for running a SageMaker image as a KernelGateway app.
|
| AppImageConfigSortKey |
| AppInstanceType |
| AppNetworkAccessType |
| AppSecurityGroupManagement |
| AppSortKey |
| AppSpecification
Configuration to run a processing job in a specified container image.
|
| AppStatus |
| AppType |
| ArtifactSource
A structure describing the source of an artifact.
|
| ArtifactSourceIdType |
| ArtifactSourceType
The ID and ID type of an artifact source.
|
| ArtifactSummary
Lists a summary of the properties of an artifact.
|
| AssemblyType |
| AssociateTrialComponentRequest |
| AssociateTrialComponentResult |
| AssociationEdgeType |
| AssociationSummary
Lists a summary of the properties of an association.
|
| AsyncInferenceClientConfig
Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous
inference.
|
| AsyncInferenceConfig
Specifies configuration for how an endpoint performs asynchronous inference.
|
| AsyncInferenceNotificationConfig
Specifies the configuration for notifications of inference results for asynchronous inference.
|
| AsyncInferenceOutputConfig
Specifies the configuration for asynchronous inference invocation outputs.
|
| AsyncNotificationTopicTypes |
| AthenaDatasetDefinition
Configuration for Athena Dataset Definition input.
|
| AthenaResultCompressionType
The compression used for Athena query results.
|
| AthenaResultFormat
The data storage format for Athena query results.
|
| AuthMode |
| AutoMLAlgorithm |
| AutoMLAlgorithmConfig
The collection of algorithms run on a dataset for training the model candidates of an Autopilot job.
|
| AutoMLCandidate
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
|
| AutoMLCandidateGenerationConfig
Stores the configuration information for how a candidate is generated (optional).
|
| AutoMLCandidateStep
Information about the steps for a candidate and what step it is working on.
|
| AutoMLChannel
A channel is a named input source that training algorithms can consume.
|
| AutoMLChannelType |
| AutoMLContainerDefinition
A list of container definitions that describe the different containers that make up an AutoML candidate.
|
| AutoMLDataSource
The data source for the Autopilot job.
|
| AutoMLDataSplitConfig
This structure specifies how to split the data into train and validation datasets.
|
| AutoMLJobArtifacts
The artifacts that are generated during an AutoML job.
|
| AutoMLJobChannel
A channel is a named input source that training algorithms can consume.
|
| AutoMLJobCompletionCriteria
How long a job is allowed to run, or how many candidates a job is allowed to generate.
|
| AutoMLJobConfig
A collection of settings used for an AutoML job.
|
| AutoMLJobObjective
Specifies a metric to minimize or maximize as the objective of a job.
|
| AutoMLJobObjectiveType |
| AutoMLJobSecondaryStatus |
| AutoMLJobStatus |
| AutoMLJobStepMetadata
Metadata for an AutoML job step.
|
| AutoMLJobSummary
Provides a summary about an AutoML job.
|
| AutoMLMetricEnum |
| AutoMLMetricExtendedEnum |
| AutoMLMode |
| AutoMLOutputDataConfig
The output data configuration.
|
| AutoMLPartialFailureReason
The reason for a partial failure of an AutoML job.
|
| AutoMLProblemTypeConfig
A collection of settings specific to the problem type used to configure an AutoML job V2.
|
| AutoMLProblemTypeConfigName |
| AutoMLProblemTypeResolvedAttributes
The resolved attributes specific to the problem type of an AutoML job V2.
|
| AutoMLProcessingUnit |
| AutoMLResolvedAttributes
The resolved attributes used to configure an AutoML job V2.
|
| AutoMLS3DataSource
Describes the Amazon S3 data source.
|
| AutoMLS3DataType |
| AutoMLSecurityConfig
Security options.
|
| AutoMLSortBy |
| AutoMLSortOrder |
| AutoParameter
The name and an example value of the hyperparameter that you want to use in Autotune.
|
| AutoRollbackConfig
Automatic rollback configuration for handling endpoint deployment failures and recovery.
|
| Autotune
A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
|
| AutotuneMode |
| AwsManagedHumanLoopRequestSource |
| BatchDataCaptureConfig
Configuration to control how SageMaker captures inference data for batch transform jobs.
|
| BatchDescribeModelPackageError
The error code and error description associated with the resource.
|
| BatchDescribeModelPackageRequest |
| BatchDescribeModelPackageResult |
| BatchDescribeModelPackageSummary
Provides summary information about the model package.
|
| BatchStrategy |
| BatchTransformInput
Input object for the batch transform job.
|
| BestObjectiveNotImproving
A structure that keeps track of which training jobs launched by your hyperparameter tuning job are not improving
model performance as evaluated against an objective function.
|
| Bias
Contains bias metrics for a model.
|
| BlueGreenUpdatePolicy
Update policy for a blue/green deployment.
|
| BooleanOperator |
| CacheHitResult
Details on the cache hit of a pipeline execution step.
|
| CallbackStepMetadata
Metadata about a callback step.
|
| CandidateArtifactLocations
The location of artifacts for an AutoML candidate job.
|
| CandidateGenerationConfig
Stores the configuration information for how model candidates are generated using an AutoML job V2.
|
| CandidateProperties
The properties of an AutoML candidate job.
|
| CandidateSortBy |
| CandidateStatus |
| CandidateStepType |
| CanvasAppSettings
The SageMaker Canvas application settings.
|
| CapacitySize
Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment,
or a rollback strategy.
|
| CapacitySizeType |
| CaptureContentTypeHeader
Configuration specifying how to treat different headers.
|
| CaptureMode |
| CaptureOption
Specifies data Model Monitor will capture.
|
| CaptureStatus |
| CategoricalParameter
Environment parameters you want to benchmark your load test against.
|
| CategoricalParameterRange
A list of categorical hyperparameters to tune.
|
| CategoricalParameterRangeSpecification
Defines the possible values for a categorical hyperparameter.
|
| Channel
A channel is a named input source that training algorithms can consume.
|
| ChannelSpecification
Defines a named input source, called a channel, to be used by an algorithm.
|
| CheckpointConfig
Contains information about the output location for managed spot training checkpoint data.
|
| ClarifyCheckStepMetadata
The container for the metadata for the ClarifyCheck step.
|
| ClarifyExplainerConfig
The configuration parameters for the SageMaker Clarify explainer.
|
| ClarifyFeatureType |
| ClarifyInferenceConfig
The inference configuration parameter for the model container.
|
| ClarifyShapBaselineConfig
The configuration for the SHAP
baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
|
| ClarifyShapConfig
The configuration for SHAP analysis using SageMaker Clarify Explainer.
|
| ClarifyTextConfig
A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are
provided for individual units of text.
|
| ClarifyTextGranularity |
| ClarifyTextLanguage |
| CodeRepository
A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.
|
| CodeRepositorySortBy |
| CodeRepositorySortOrder |
| CodeRepositorySummary
Specifies summary information about a Git repository.
|
| CognitoConfig
Use this parameter to configure your Amazon Cognito workforce.
|
| CognitoMemberDefinition
Identifies a Amazon Cognito user group.
|
| CollectionConfiguration
Configuration information for the Amazon SageMaker Debugger output tensor collections.
|
| CompilationJobStatus |
| CompilationJobSummary
A summary of a model compilation job.
|
| CompleteOnConvergence |
| CompressionType |
| ConditionOutcome |
| ConditionStepMetadata
Metadata for a Condition step.
|
| ContainerDefinition
Describes the container, as part of model definition.
|
| ContainerMode |
| ContentClassifier |
| ContextSource
A structure describing the source of a context.
|
| ContextSummary
Lists a summary of the properties of a context.
|
| ContinuousParameterRange
A list of continuous hyperparameters to tune.
|
| ContinuousParameterRangeSpecification
Defines the possible values for a continuous hyperparameter.
|
| ConvergenceDetected
A flag to indicating that automatic model tuning (AMT) has detected model convergence, defined as a lack of
significant improvement (1% or less) against an objective metric.
|
| CreateActionRequest |
| CreateActionResult |
| CreateAlgorithmRequest |
| CreateAlgorithmResult |
| CreateAppImageConfigRequest |
| CreateAppImageConfigResult |
| CreateAppRequest |
| CreateAppResult |
| CreateArtifactRequest |
| CreateArtifactResult |
| CreateAutoMLJobRequest |
| CreateAutoMLJobResult |
| CreateAutoMLJobV2Request |
| CreateAutoMLJobV2Result |
| CreateCodeRepositoryRequest |
| CreateCodeRepositoryResult |
| CreateCompilationJobRequest |
| CreateCompilationJobResult |
| CreateContextRequest |
| CreateContextResult |
| CreateDataQualityJobDefinitionRequest |
| CreateDataQualityJobDefinitionResult |
| CreateDeviceFleetRequest |
| CreateDeviceFleetResult |
| CreateDomainRequest |
| CreateDomainResult |
| CreateEdgeDeploymentPlanRequest |
| CreateEdgeDeploymentPlanResult |
| CreateEdgeDeploymentStageRequest |
| CreateEdgeDeploymentStageResult |
| CreateEdgePackagingJobRequest |
| CreateEdgePackagingJobResult |
| CreateEndpointConfigRequest |
| CreateEndpointConfigResult |
| CreateEndpointRequest |
| CreateEndpointResult |
| CreateExperimentRequest |
| CreateExperimentResult |
| CreateFeatureGroupRequest |
| CreateFeatureGroupResult |
| CreateFlowDefinitionRequest |
| CreateFlowDefinitionResult |
| CreateHubRequest |
| CreateHubResult |
| CreateHumanTaskUiRequest |
| CreateHumanTaskUiResult |
| CreateHyperParameterTuningJobRequest |
| CreateHyperParameterTuningJobResult |
| CreateImageRequest |
| CreateImageResult |
| CreateImageVersionRequest |
| CreateImageVersionResult |
| CreateInferenceExperimentRequest |
| CreateInferenceExperimentResult |
| CreateInferenceRecommendationsJobRequest |
| CreateInferenceRecommendationsJobResult |
| CreateLabelingJobRequest |
| CreateLabelingJobResult |
| CreateModelBiasJobDefinitionRequest |
| CreateModelBiasJobDefinitionResult |
| CreateModelCardExportJobRequest |
| CreateModelCardExportJobResult |
| CreateModelCardRequest |
| CreateModelCardResult |
| CreateModelExplainabilityJobDefinitionRequest |
| CreateModelExplainabilityJobDefinitionResult |
| CreateModelPackageGroupRequest |
| CreateModelPackageGroupResult |
| CreateModelPackageRequest |
| CreateModelPackageResult |
| CreateModelQualityJobDefinitionRequest |
| CreateModelQualityJobDefinitionResult |
| CreateModelRequest |
| CreateModelResult |
| CreateMonitoringScheduleRequest |
| CreateMonitoringScheduleResult |
| CreateNotebookInstanceLifecycleConfigRequest |
| CreateNotebookInstanceLifecycleConfigResult |
| CreateNotebookInstanceRequest |
| CreateNotebookInstanceResult |
| CreatePipelineRequest |
| CreatePipelineResult |
| CreatePresignedDomainUrlRequest |
| CreatePresignedDomainUrlResult |
| CreatePresignedNotebookInstanceUrlRequest |
| CreatePresignedNotebookInstanceUrlResult |
| CreateProcessingJobRequest |
| CreateProcessingJobResult |
| CreateProjectRequest |
| CreateProjectResult |
| CreateSpaceRequest |
| CreateSpaceResult |
| CreateStudioLifecycleConfigRequest |
| CreateStudioLifecycleConfigResult |
| CreateTrainingJobRequest |
| CreateTrainingJobResult |
| CreateTransformJobRequest |
| CreateTransformJobResult |
| CreateTrialComponentRequest |
| CreateTrialComponentResult |
| CreateTrialRequest |
| CreateTrialResult |
| CreateUserProfileRequest |
| CreateUserProfileResult |
| CreateWorkforceRequest |
| CreateWorkforceResult |
| CreateWorkteamRequest |
| CreateWorkteamResult |
| CrossAccountFilterOption |
| CustomImage
A custom SageMaker image.
|
| CustomizedMetricSpecification
A customized metric.
|
| DataCaptureConfig
Configuration to control how SageMaker captures inference data.
|
| DataCaptureConfigSummary
The currently active data capture configuration used by your Endpoint.
|
| DataCatalogConfig
The meta data of the Glue table which serves as data catalog for the
OfflineStore. |
| DataDistributionType |
| DataProcessing
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.
|
| DataQualityAppSpecification
Information about the container that a data quality monitoring job runs.
|
| DataQualityBaselineConfig
Configuration for monitoring constraints and monitoring statistics.
|
| DataQualityJobInput
The input for the data quality monitoring job.
|
| DatasetDefinition
Configuration for Dataset Definition inputs.
|
| DataSource
Describes the location of the channel data.
|
| DataSourceName |
| DebugHookConfig
Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and
storage paths.
|
| DebugRuleConfiguration
Configuration information for SageMaker Debugger rules for debugging.
|
| DebugRuleEvaluationStatus
Information about the status of the rule evaluation.
|
| DefaultSpaceSettings
A collection of settings that apply to spaces created in the Domain.
|
| DeleteActionRequest |
| DeleteActionResult |
| DeleteAlgorithmRequest |
| DeleteAlgorithmResult |
| DeleteAppImageConfigRequest |
| DeleteAppImageConfigResult |
| DeleteAppRequest |
| DeleteAppResult |
| DeleteArtifactRequest |
| DeleteArtifactResult |
| DeleteAssociationRequest |
| DeleteAssociationResult |
| DeleteCodeRepositoryRequest |
| DeleteCodeRepositoryResult |
| DeleteContextRequest |
| DeleteContextResult |
| DeleteDataQualityJobDefinitionRequest |
| DeleteDataQualityJobDefinitionResult |
| DeleteDeviceFleetRequest |
| DeleteDeviceFleetResult |
| DeleteDomainRequest |
| DeleteDomainResult |
| DeleteEdgeDeploymentPlanRequest |
| DeleteEdgeDeploymentPlanResult |
| DeleteEdgeDeploymentStageRequest |
| DeleteEdgeDeploymentStageResult |
| DeleteEndpointConfigRequest |
| DeleteEndpointConfigResult |
| DeleteEndpointRequest |
| DeleteEndpointResult |
| DeleteExperimentRequest |
| DeleteExperimentResult |
| DeleteFeatureGroupRequest |
| DeleteFeatureGroupResult |
| DeleteFlowDefinitionRequest |
| DeleteFlowDefinitionResult |
| DeleteHubContentRequest |
| DeleteHubContentResult |
| DeleteHubRequest |
| DeleteHubResult |
| DeleteHumanTaskUiRequest |
| DeleteHumanTaskUiResult |
| DeleteImageRequest |
| DeleteImageResult |
| DeleteImageVersionRequest |
| DeleteImageVersionResult |
| DeleteInferenceExperimentRequest |
| DeleteInferenceExperimentResult |
| DeleteModelBiasJobDefinitionRequest |
| DeleteModelBiasJobDefinitionResult |
| DeleteModelCardRequest |
| DeleteModelCardResult |
| DeleteModelExplainabilityJobDefinitionRequest |
| DeleteModelExplainabilityJobDefinitionResult |
| DeleteModelPackageGroupPolicyRequest |
| DeleteModelPackageGroupPolicyResult |
| DeleteModelPackageGroupRequest |
| DeleteModelPackageGroupResult |
| DeleteModelPackageRequest |
| DeleteModelPackageResult |
| DeleteModelQualityJobDefinitionRequest |
| DeleteModelQualityJobDefinitionResult |
| DeleteModelRequest |
| DeleteModelResult |
| DeleteMonitoringScheduleRequest |
| DeleteMonitoringScheduleResult |
| DeleteNotebookInstanceLifecycleConfigRequest |
| DeleteNotebookInstanceLifecycleConfigResult |
| DeleteNotebookInstanceRequest |
| DeleteNotebookInstanceResult |
| DeletePipelineRequest |
| DeletePipelineResult |
| DeleteProjectRequest |
| DeleteProjectResult |
| DeleteSpaceRequest |
| DeleteSpaceResult |
| DeleteStudioLifecycleConfigRequest |
| DeleteStudioLifecycleConfigResult |
| DeleteTagsRequest |
| DeleteTagsResult |
| DeleteTrialComponentRequest |
| DeleteTrialComponentResult |
| DeleteTrialRequest |
| DeleteTrialResult |
| DeleteUserProfileRequest |
| DeleteUserProfileResult |
| DeleteWorkforceRequest |
| DeleteWorkforceResult |
| DeleteWorkteamRequest |
| DeleteWorkteamResult |
| DeployedImage
Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
|
| DeploymentConfig
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
|
| DeploymentRecommendation
A set of recommended deployment configurations for the model.
|
| DeploymentStage
Contains information about a stage in an edge deployment plan.
|
| DeploymentStageStatusSummary
Contains information summarizing the deployment stage results.
|
| DeregisterDevicesRequest |
| DeregisterDevicesResult |
| DerivedInformation
Information that SageMaker Neo automatically derived about the model.
|
| DescribeActionRequest |
| DescribeActionResult |
| DescribeAlgorithmRequest |
| DescribeAlgorithmResult |
| DescribeAppImageConfigRequest |
| DescribeAppImageConfigResult |
| DescribeAppRequest |
| DescribeAppResult |
| DescribeArtifactRequest |
| DescribeArtifactResult |
| DescribeAutoMLJobRequest |
| DescribeAutoMLJobResult |
| DescribeAutoMLJobV2Request |
| DescribeAutoMLJobV2Result |
| DescribeCodeRepositoryRequest |
| DescribeCodeRepositoryResult |
| DescribeCompilationJobRequest |
| DescribeCompilationJobResult |
| DescribeContextRequest |
| DescribeContextResult |
| DescribeDataQualityJobDefinitionRequest |
| DescribeDataQualityJobDefinitionResult |
| DescribeDeviceFleetRequest |
| DescribeDeviceFleetResult |
| DescribeDeviceRequest |
| DescribeDeviceResult |
| DescribeDomainRequest |
| DescribeDomainResult |
| DescribeEdgeDeploymentPlanRequest |
| DescribeEdgeDeploymentPlanResult |
| DescribeEdgePackagingJobRequest |
| DescribeEdgePackagingJobResult |
| DescribeEndpointConfigRequest |
| DescribeEndpointConfigResult |
| DescribeEndpointRequest |
| DescribeEndpointResult |
| DescribeExperimentRequest |
| DescribeExperimentResult |
| DescribeFeatureGroupRequest |
| DescribeFeatureGroupResult |
| DescribeFeatureMetadataRequest |
| DescribeFeatureMetadataResult |
| DescribeFlowDefinitionRequest |
| DescribeFlowDefinitionResult |
| DescribeHubContentRequest |
| DescribeHubContentResult |
| DescribeHubRequest |
| DescribeHubResult |
| DescribeHumanTaskUiRequest |
| DescribeHumanTaskUiResult |
| DescribeHyperParameterTuningJobRequest |
| DescribeHyperParameterTuningJobResult |
| DescribeImageRequest |
| DescribeImageResult |
| DescribeImageVersionRequest |
| DescribeImageVersionResult |
| DescribeInferenceExperimentRequest |
| DescribeInferenceExperimentResult |
| DescribeInferenceRecommendationsJobRequest |
| DescribeInferenceRecommendationsJobResult |
| DescribeLabelingJobRequest |
| DescribeLabelingJobResult |
| DescribeLineageGroupRequest |
| DescribeLineageGroupResult |
| DescribeModelBiasJobDefinitionRequest |
| DescribeModelBiasJobDefinitionResult |
| DescribeModelCardExportJobRequest |
| DescribeModelCardExportJobResult |
| DescribeModelCardRequest |
| DescribeModelCardResult |
| DescribeModelExplainabilityJobDefinitionRequest |
| DescribeModelExplainabilityJobDefinitionResult |
| DescribeModelPackageGroupRequest |
| DescribeModelPackageGroupResult |
| DescribeModelPackageRequest |
| DescribeModelPackageResult |
| DescribeModelQualityJobDefinitionRequest |
| DescribeModelQualityJobDefinitionResult |
| DescribeModelRequest |
| DescribeModelResult |
| DescribeMonitoringScheduleRequest |
| DescribeMonitoringScheduleResult |
| DescribeNotebookInstanceLifecycleConfigRequest |
| DescribeNotebookInstanceLifecycleConfigResult |
| DescribeNotebookInstanceRequest |
| DescribeNotebookInstanceResult |
| DescribePipelineDefinitionForExecutionRequest |
| DescribePipelineDefinitionForExecutionResult |
| DescribePipelineExecutionRequest |
| DescribePipelineExecutionResult |
| DescribePipelineRequest |
| DescribePipelineResult |
| DescribeProcessingJobRequest |
| DescribeProcessingJobResult |
| DescribeProjectRequest |
| DescribeProjectResult |
| DescribeSpaceRequest |
| DescribeSpaceResult |
| DescribeStudioLifecycleConfigRequest |
| DescribeStudioLifecycleConfigResult |
| DescribeSubscribedWorkteamRequest |
| DescribeSubscribedWorkteamResult |
| DescribeTrainingJobRequest |
| DescribeTrainingJobResult |
| DescribeTransformJobRequest |
| DescribeTransformJobResult |
| DescribeTrialComponentRequest |
| DescribeTrialComponentResult |
| DescribeTrialRequest |
| DescribeTrialResult |
| DescribeUserProfileRequest |
| DescribeUserProfileResult |
| DescribeWorkforceRequest |
| DescribeWorkforceResult |
| DescribeWorkteamRequest |
| DescribeWorkteamResult |
| DesiredWeightAndCapacity
Specifies weight and capacity values for a production variant.
|
| DetailedAlgorithmStatus |
| DetailedModelPackageStatus |
| Device
Information of a particular device.
|
| DeviceDeploymentStatus |
| DeviceDeploymentSummary
Contains information summarizing device details and deployment status.
|
| DeviceFleetSummary
Summary of the device fleet.
|
| DeviceSelectionConfig
Contains information about the configurations of selected devices.
|
| DeviceStats
Status of devices.
|
| DeviceSubsetType |
| DeviceSummary
Summary of the device.
|
| DirectInternetAccess |
| Direction |
| DisableSagemakerServicecatalogPortfolioRequest |
| DisableSagemakerServicecatalogPortfolioResult |
| DisassociateTrialComponentRequest |
| DisassociateTrialComponentResult |
| DomainDetails
The domain's details.
|
| DomainSettings
A collection of settings that apply to the
SageMaker Domain. |
| DomainSettingsForUpdate
A collection of
Domain configuration settings to update. |
| DomainStatus |
| DriftCheckBaselines
Represents the drift check baselines that can be used when the model monitor is set using the model package.
|
| DriftCheckBias
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
|
| DriftCheckExplainability
Represents the drift check explainability baselines that can be used when the model monitor is set using the model
package.
|
| DriftCheckModelDataQuality
Represents the drift check data quality baselines that can be used when the model monitor is set using the model
package.
|
| DriftCheckModelQuality
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
|
| DynamicScalingConfiguration
An object with the recommended values for you to specify when creating an autoscaling policy.
|
| Edge
A directed edge connecting two lineage entities.
|
| EdgeDeploymentConfig
Contains information about the configuration of a deployment.
|
| EdgeDeploymentModelConfig
Contains information about the configuration of a model in a deployment.
|
| EdgeDeploymentPlanSummary
Contains information summarizing an edge deployment plan.
|
| EdgeDeploymentStatus
Contains information summarizing the deployment stage results.
|
| EdgeModel
The model on the edge device.
|
| EdgeModelStat
Status of edge devices with this model.
|
| EdgeModelSummary
Summary of model on edge device.
|
| EdgeOutputConfig
The output configuration.
|
| EdgePackagingJobStatus |
| EdgePackagingJobSummary
Summary of edge packaging job.
|
| EdgePresetDeploymentOutput
The output of a SageMaker Edge Manager deployable resource.
|
| EdgePresetDeploymentStatus |
| EdgePresetDeploymentType |
| EMRStepMetadata
The configurations and outcomes of an Amazon EMR step execution.
|
| EnableSagemakerServicecatalogPortfolioRequest |
| EnableSagemakerServicecatalogPortfolioResult |
| Endpoint
A hosted endpoint for real-time inference.
|
| EndpointConfigSortKey |
| EndpointConfigSummary
Provides summary information for an endpoint configuration.
|
| EndpointInfo
Details about a customer endpoint that was compared in an Inference Recommender job.
|
| EndpointInput
Input object for the endpoint
|
| EndpointInputConfiguration
The endpoint configuration for the load test.
|
| EndpointMetadata
The metadata of the endpoint.
|
| EndpointOutputConfiguration
The endpoint configuration made by Inference Recommender during a recommendation job.
|
| EndpointPerformance
The performance results from running an Inference Recommender job on an existing endpoint.
|
| EndpointSortKey |
| EndpointStatus |
| EndpointSummary
Provides summary information for an endpoint.
|
| EnvironmentParameter
A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
|
| EnvironmentParameterRanges
Specifies the range of environment parameters
|
| ExecutionRoleIdentityConfig |
| ExecutionStatus |
| Experiment
The properties of an experiment as returned by the Search API.
|
| ExperimentConfig
Associates a SageMaker job as a trial component with an experiment and trial.
|
| ExperimentSource
The source of the experiment.
|
| ExperimentSummary
A summary of the properties of an experiment.
|
| Explainability
Contains explainability metrics for a model.
|
| ExplainerConfig
A parameter to activate explainers.
|
| FailStepMetadata
The container for the metadata for Fail step.
|
| FailureHandlingPolicy |
| FeatureDefinition
A list of features.
|
| FeatureGroup
Amazon SageMaker Feature Store stores features in a collection called Feature Group.
|
| FeatureGroupSortBy |
| FeatureGroupSortOrder |
| FeatureGroupStatus |
| FeatureGroupSummary
The name, ARN,
CreationTime, FeatureGroup values, LastUpdatedTime and
EnableOnlineStorage status of a FeatureGroup. |
| FeatureMetadata
The metadata for a feature.
|
| FeatureParameter
A key-value pair that you specify to describe the feature.
|
| FeatureStatus |
| FeatureType |
| FileSource
Contains details regarding the file source.
|
| FileSystemAccessMode |
| FileSystemConfig
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
|
| FileSystemDataSource
Specifies a file system data source for a channel.
|
| FileSystemType |
| FillingType |
| Filter
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
|
| FinalAutoMLJobObjectiveMetric
The best candidate result from an AutoML training job.
|
| FinalHyperParameterTuningJobObjectiveMetric
Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job.
|
| FlatInvocations |
| FlowDefinitionOutputConfig
Contains information about where human output will be stored.
|
| FlowDefinitionStatus |
| FlowDefinitionSummary
Contains summary information about the flow definition.
|
| Framework |
| GetDeviceFleetReportRequest |
| GetDeviceFleetReportResult |
| GetLineageGroupPolicyRequest |
| GetLineageGroupPolicyResult |
| GetModelPackageGroupPolicyRequest |
| GetModelPackageGroupPolicyResult |
| GetSagemakerServicecatalogPortfolioStatusRequest |
| GetSagemakerServicecatalogPortfolioStatusResult |
| GetScalingConfigurationRecommendationRequest |
| GetScalingConfigurationRecommendationResult |
| GetSearchSuggestionsRequest |
| GetSearchSuggestionsResult |
| GitConfig
Specifies configuration details for a Git repository in your Amazon Web Services account.
|
| GitConfigForUpdate
Specifies configuration details for a Git repository when the repository is updated.
|
| HubContentDependency
Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
|
| HubContentInfo
Information about hub content.
|
| HubContentSortBy |
| HubContentStatus |
| HubContentType |
| HubInfo
Information about a hub.
|
| HubS3StorageConfig
The Amazon S3 storage configuration of a hub.
|
| HubSortBy |
| HubStatus |
| HumanLoopActivationConditionsConfig
Defines under what conditions SageMaker creates a human loop.
|
| HumanLoopActivationConfig
Provides information about how and under what conditions SageMaker creates a human loop.
|
| HumanLoopConfig
Describes the work to be performed by human workers.
|
| HumanLoopRequestSource
Container for configuring the source of human task requests.
|
| HumanTaskConfig
Information required for human workers to complete a labeling task.
|
| HumanTaskUiStatus |
| HumanTaskUiSummary
Container for human task user interface information.
|
| HyperbandStrategyConfig
The configuration for
Hyperband, a multi-fidelity based hyperparameter tuning strategy. |
| HyperParameterAlgorithmSpecification
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics
to monitor.
|
| HyperParameterScalingType |
| HyperParameterSpecification
Defines a hyperparameter to be used by an algorithm.
|
| HyperParameterTrainingJobDefinition
Defines the training jobs launched by a hyperparameter tuning job.
|
| HyperParameterTrainingJobSummary
The container for the summary information about a training job.
|
| HyperParameterTuningAllocationStrategy |
| HyperParameterTuningInstanceConfig
The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job.
|
| HyperParameterTuningJobCompletionDetails
A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
|
| HyperParameterTuningJobConfig
Configures a hyperparameter tuning job.
|
| HyperParameterTuningJobConsumedResources
The total resources consumed by your hyperparameter tuning job.
|
| HyperParameterTuningJobObjective
Defines the objective metric for a hyperparameter tuning job.
|
| HyperParameterTuningJobObjectiveType |
| HyperParameterTuningJobSearchEntity
An entity returned by the SearchRecord API
containing the properties of a hyperparameter tuning job.
|
| HyperParameterTuningJobSortByOptions |
| HyperParameterTuningJobStatus |
| HyperParameterTuningJobStrategyConfig
The configuration for a training job launched by a hyperparameter tuning job.
|
| HyperParameterTuningJobStrategyType
The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model.
|
| HyperParameterTuningJobSummary
Provides summary information about a hyperparameter tuning job.
|
| HyperParameterTuningJobWarmStartConfig
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs
as a starting point.
|
| HyperParameterTuningJobWarmStartType |
| HyperParameterTuningResourceConfig
The configuration of resources, including compute instances and storage volumes for use in training jobs launched by
hyperparameter tuning jobs.
|
| IamIdentity
The IAM Identity details associated with the user.
|
| IdentityProviderOAuthSetting
The Amazon SageMaker Canvas app setting where you configure OAuth for connecting to an external data source, such as
Snowflake.
|
| Image
A SageMaker image.
|
| ImageClassificationJobConfig
Stores the configuration information for the image classification problem of an AutoML job V2.
|
| ImageConfig
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
|
| ImageSortBy |
| ImageSortOrder |
| ImageStatus |
| ImageVersion
A version of a SageMaker
Image. |
| ImageVersionSortBy |
| ImageVersionSortOrder |
| ImageVersionStatus |
| ImportHubContentRequest |
| ImportHubContentResult |
| InferenceExecutionConfig
Specifies details about how containers in a multi-container endpoint are run.
|
| InferenceExecutionMode |
| InferenceExperimentDataStorageConfig
The Amazon S3 location and configuration for storing inference request and response data.
|
| InferenceExperimentSchedule
The start and end times of an inference experiment.
|
| InferenceExperimentStatus |
| InferenceExperimentStopDesiredState |
| InferenceExperimentSummary
Lists a summary of properties of an inference experiment.
|
| InferenceExperimentType |
| InferenceMetrics
The metrics for an existing endpoint compared in an Inference Recommender job.
|
| InferenceRecommendation
A list of recommendations made by Amazon SageMaker Inference Recommender.
|
| InferenceRecommendationsJob
A structure that contains a list of recommendation jobs.
|
| InferenceRecommendationsJobStep
A returned array object for the
Steps response field in the ListInferenceRecommendationsJobSteps API command. |
| InferenceSpecification
Defines how to perform inference generation after a training job is run.
|
| InputConfig
Contains 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.
|
| InputMode |
| InstanceGroup
Defines an instance group for heterogeneous cluster training.
|
| InstanceMetadataServiceConfiguration
Information on the IMDS configuration of the notebook instance
|
| InstanceType |
| IntegerParameterRange
For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
|
| IntegerParameterRangeSpecification
Defines the possible values for an integer hyperparameter.
|
| JobType |
| JoinSource |
| JupyterServerAppSettings
The JupyterServer app settings.
|
| KernelGatewayAppSettings
The KernelGateway app settings.
|
| KernelGatewayImageConfig
The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.
|
| KernelSpec
The specification of a Jupyter kernel.
|
| LabelCounters
Provides a breakdown of the number of objects labeled.
|
| LabelCountersForWorkteam
Provides counts for human-labeled tasks in the labeling job.
|
| LabelingJobAlgorithmsConfig
Provides configuration information for auto-labeling of your data objects.
|
| LabelingJobDataAttributes
Attributes of the data specified by the customer.
|
| LabelingJobDataSource
Provides information about the location of input data.
|
| LabelingJobForWorkteamSummary
Provides summary information for a work team.
|
| LabelingJobInputConfig
Input configuration information for a labeling job.
|
| LabelingJobOutput
Specifies the location of the output produced by the labeling job.
|
| LabelingJobOutputConfig
Output configuration information for a labeling job.
|
| LabelingJobResourceConfig
Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling
model training and inference.
|
| LabelingJobS3DataSource
The Amazon S3 location of the input data objects.
|
| LabelingJobSnsDataSource
An Amazon SNS data source used for streaming labeling jobs.
|
| LabelingJobStatus |
| LabelingJobStoppingConditions
A set of conditions for stopping a labeling job.
|
| LabelingJobSummary
Provides summary information about a labeling job.
|
| LambdaStepMetadata
Metadata for a Lambda step.
|
| LastUpdateStatus
A value that indicates whether the update was successful.
|
| LastUpdateStatusValue |
| LineageGroupSummary
Lists a summary of the properties of a lineage group.
|
| LineageType |
| ListActionsRequest |
| ListActionsResult |
| ListAlgorithmsRequest |
| ListAlgorithmsResult |
| ListAliasesRequest |
| ListAliasesResult |
| ListAppImageConfigsRequest |
| ListAppImageConfigsResult |
| ListAppsRequest |
| ListAppsResult |
| ListArtifactsRequest |
| ListArtifactsResult |
| ListAssociationsRequest |
| ListAssociationsResult |
| ListAutoMLJobsRequest |
| ListAutoMLJobsResult |
| ListCandidatesForAutoMLJobRequest |
| ListCandidatesForAutoMLJobResult |
| ListCodeRepositoriesRequest |
| ListCodeRepositoriesResult |
| ListCompilationJobsRequest |
| ListCompilationJobsResult |
| ListCompilationJobsSortBy |
| ListContextsRequest |
| ListContextsResult |
| ListDataQualityJobDefinitionsRequest |
| ListDataQualityJobDefinitionsResult |
| ListDeviceFleetsRequest |
| ListDeviceFleetsResult |
| ListDeviceFleetsSortBy |
| ListDevicesRequest |
| ListDevicesResult |
| ListDomainsRequest |
| ListDomainsResult |
| ListEdgeDeploymentPlansRequest |
| ListEdgeDeploymentPlansResult |
| ListEdgeDeploymentPlansSortBy |
| ListEdgePackagingJobsRequest |
| ListEdgePackagingJobsResult |
| ListEdgePackagingJobsSortBy |
| ListEndpointConfigsRequest |
| ListEndpointConfigsResult |
| ListEndpointsRequest |
| ListEndpointsResult |
| ListExperimentsRequest |
| ListExperimentsResult |
| ListFeatureGroupsRequest |
| ListFeatureGroupsResult |
| ListFlowDefinitionsRequest |
| ListFlowDefinitionsResult |
| ListHubContentsRequest |
| ListHubContentsResult |
| ListHubContentVersionsRequest |
| ListHubContentVersionsResult |
| ListHubsRequest |
| ListHubsResult |
| ListHumanTaskUisRequest |
| ListHumanTaskUisResult |
| ListHyperParameterTuningJobsRequest |
| ListHyperParameterTuningJobsResult |
| ListImagesRequest |
| ListImagesResult |
| ListImageVersionsRequest |
| ListImageVersionsResult |
| ListInferenceExperimentsRequest |
| ListInferenceExperimentsResult |
| ListInferenceRecommendationsJobsRequest |
| ListInferenceRecommendationsJobsResult |
| ListInferenceRecommendationsJobsSortBy |
| ListInferenceRecommendationsJobStepsRequest |
| ListInferenceRecommendationsJobStepsResult |
| ListLabelingJobsForWorkteamRequest |
| ListLabelingJobsForWorkteamResult |
| ListLabelingJobsForWorkteamSortByOptions |
| ListLabelingJobsRequest |
| ListLabelingJobsResult |
| ListLineageGroupsRequest |
| ListLineageGroupsResult |
| ListModelBiasJobDefinitionsRequest |
| ListModelBiasJobDefinitionsResult |
| ListModelCardExportJobsRequest |
| ListModelCardExportJobsResult |
| ListModelCardsRequest |
| ListModelCardsResult |
| ListModelCardVersionsRequest |
| ListModelCardVersionsResult |
| ListModelExplainabilityJobDefinitionsRequest |
| ListModelExplainabilityJobDefinitionsResult |
| ListModelMetadataRequest |
| ListModelMetadataResult |
| ListModelPackageGroupsRequest |
| ListModelPackageGroupsResult |
| ListModelPackagesRequest |
| ListModelPackagesResult |
| ListModelQualityJobDefinitionsRequest |
| ListModelQualityJobDefinitionsResult |
| ListModelsRequest |
| ListModelsResult |
| ListMonitoringAlertHistoryRequest |
| ListMonitoringAlertHistoryResult |
| ListMonitoringAlertsRequest |
| ListMonitoringAlertsResult |
| ListMonitoringExecutionsRequest |
| ListMonitoringExecutionsResult |
| ListMonitoringSchedulesRequest |
| ListMonitoringSchedulesResult |
| ListNotebookInstanceLifecycleConfigsRequest |
| ListNotebookInstanceLifecycleConfigsResult |
| ListNotebookInstancesRequest |
| ListNotebookInstancesResult |
| ListPipelineExecutionsRequest |
| ListPipelineExecutionsResult |
| ListPipelineExecutionStepsRequest |
| ListPipelineExecutionStepsResult |
| ListPipelineParametersForExecutionRequest |
| ListPipelineParametersForExecutionResult |
| ListPipelinesRequest |
| ListPipelinesResult |
| ListProcessingJobsRequest |
| ListProcessingJobsResult |
| ListProjectsRequest |
| ListProjectsResult |
| ListResourceCatalogsRequest |
| ListResourceCatalogsResult |
| ListSpacesRequest |
| ListSpacesResult |
| ListStageDevicesRequest |
| ListStageDevicesResult |
| ListStudioLifecycleConfigsRequest |
| ListStudioLifecycleConfigsResult |
| ListSubscribedWorkteamsRequest |
| ListSubscribedWorkteamsResult |
| ListTagsRequest |
| ListTagsResult |
| ListTrainingJobsForHyperParameterTuningJobRequest |
| ListTrainingJobsForHyperParameterTuningJobResult |
| ListTrainingJobsRequest |
| ListTrainingJobsResult |
| ListTransformJobsRequest |
| ListTransformJobsResult |
| ListTrialComponentsRequest |
| ListTrialComponentsResult |
| ListTrialsRequest |
| ListTrialsResult |
| ListUserProfilesRequest |
| ListUserProfilesResult |
| ListWorkforcesRequest |
| ListWorkforcesResult |
| ListWorkforcesSortByOptions |
| ListWorkteamsRequest |
| ListWorkteamsResult |
| ListWorkteamsSortByOptions |
| MemberDefinition
Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
|
| MetadataProperties
Metadata properties of the tracking entity, trial, or trial component.
|
| MetricData
The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
|
| MetricDatum
Information about the metric for a candidate produced by an AutoML job.
|
| MetricDefinition
Specifies a metric that the training algorithm writes to
stderr or stdout. |
| MetricSetSource |
| MetricSpecification
An object containing information about a metric.
|
| MetricsSource
Details about the metrics source.
|
| Model
The properties of a model as returned by the Search API.
|
| ModelApprovalStatus |
| ModelArtifacts
Provides information about the location that is configured for storing model artifacts.
|
| ModelBiasAppSpecification
Docker container image configuration object for the model bias job.
|
| ModelBiasBaselineConfig
The configuration for a baseline model bias job.
|
| ModelBiasJobInput
Inputs for the model bias job.
|
| ModelCacheSetting |
| ModelCard
An Amazon SageMaker Model Card.
|
| ModelCardExportArtifacts
The artifacts of the model card export job.
|
| ModelCardExportJobSortBy
Attribute by which to sort returned export jobs.
|
| ModelCardExportJobSortOrder |
| ModelCardExportJobStatus |
| ModelCardExportJobSummary
The summary of the Amazon SageMaker Model Card export job.
|
| ModelCardExportOutputConfig
Configure the export output details for an Amazon SageMaker Model Card.
|
| ModelCardProcessingStatus |
| ModelCardSecurityConfig
Configure the security settings to protect model card data.
|
| ModelCardSortBy |
| ModelCardSortOrder |
| ModelCardStatus |
| ModelCardSummary
A summary of the model card.
|
| ModelCardVersionSortBy |
| ModelCardVersionSummary
A summary of a specific version of the model card.
|
| ModelClientConfig
Configures the timeout and maximum number of retries for processing a transform job invocation.
|
| ModelCompressionType |
| ModelConfiguration
Defines the model configuration.
|
| ModelDashboardEndpoint
An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardIndicatorAction
An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into
InAlert status. |
| ModelDashboardModel
A model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardModelCard
The model card for a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardMonitoringSchedule
A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDataQuality
Data quality constraints and statistics for a model.
|
| ModelDataSource
Specifies the location of ML model data to deploy.
|
| ModelDeployConfig
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
|
| ModelDeployResult
Provides information about the endpoint of the model deployment.
|
| ModelDigests
Provides information to verify the integrity of stored model artifacts.
|
| ModelExplainabilityAppSpecification
Docker container image configuration object for the model explainability job.
|
| ModelExplainabilityBaselineConfig
The configuration for a baseline model explainability job.
|
| ModelExplainabilityJobInput
Inputs for the model explainability job.
|
| ModelInfrastructureConfig
The configuration for the infrastructure that the model will be deployed to.
|
| ModelInfrastructureType |
| ModelInput
Input object for the model.
|
| ModelLatencyThreshold
The model latency threshold.
|
| ModelMetadataFilter
Part of the search expression.
|
| ModelMetadataFilterType |
| ModelMetadataSearchExpression
One or more filters that searches for the specified resource or resources in a search.
|
| ModelMetadataSummary
A summary of the model metadata.
|
| ModelMetrics
Contains metrics captured from a model.
|
| ModelPackage
A versioned model that can be deployed for SageMaker inference.
|
| ModelPackageContainerDefinition
Describes the Docker container for the model package.
|
| ModelPackageGroup
A group of versioned models in the model registry.
|
| ModelPackageGroupSortBy |
| ModelPackageGroupStatus |
| ModelPackageGroupSummary
Summary information about a model group.
|
| ModelPackageSortBy |
| ModelPackageStatus |
| ModelPackageStatusDetails
Specifies the validation and image scan statuses of the model package.
|
| ModelPackageStatusItem
Represents the overall status of a model package.
|
| ModelPackageSummary
Provides summary information about a model package.
|
| ModelPackageType |
| ModelPackageValidationProfile
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model
package.
|
| ModelPackageValidationSpecification
Specifies batch transform jobs that SageMaker runs to validate your model package.
|
| ModelQuality
Model quality statistics and constraints.
|
| ModelQualityAppSpecification
Container image configuration object for the monitoring job.
|
| ModelQualityBaselineConfig
Configuration for monitoring constraints and monitoring statistics.
|
| ModelQualityJobInput
The input for the model quality monitoring job.
|
| ModelRegisterSettings
The model registry settings for the SageMaker Canvas application.
|
| ModelSortKey |
| ModelStepMetadata
Metadata for Model steps.
|
| ModelSummary
Provides summary information about a model.
|
| ModelVariantAction |
| ModelVariantConfig
Contains information about the deployment options of a model.
|
| ModelVariantConfigSummary
Summary of the deployment configuration of a model.
|
| ModelVariantStatus |
| MonitoringAlertActions
A list of alert actions taken in response to an alert going into
InAlert status. |
| MonitoringAlertHistorySortKey |
| MonitoringAlertHistorySummary
Provides summary information of an alert's history.
|
| MonitoringAlertStatus |
| MonitoringAlertSummary
Provides summary information about a monitor alert.
|
| MonitoringAppSpecification
Container image configuration object for the monitoring job.
|
| MonitoringBaselineConfig
Configuration for monitoring constraints and monitoring statistics.
|
| MonitoringClusterConfig
Configuration for the cluster used to run model monitoring jobs.
|
| MonitoringConstraintsResource
The constraints resource for a monitoring job.
|
| MonitoringCsvDatasetFormat
Represents the CSV dataset format used when running a monitoring job.
|
| MonitoringDatasetFormat
Represents the dataset format used when running a monitoring job.
|
| MonitoringExecutionSortKey |
| MonitoringExecutionSummary
Summary of information about the last monitoring job to run.
|
| MonitoringGroundTruthS3Input
The ground truth labels for the dataset used for the monitoring job.
|
| MonitoringInput
The inputs for a monitoring job.
|
| MonitoringJobDefinition
Defines the monitoring job.
|
| MonitoringJobDefinitionSortKey |
| MonitoringJobDefinitionSummary
Summary information about a monitoring job.
|
| MonitoringJsonDatasetFormat
Represents the JSON dataset format used when running a monitoring job.
|
| MonitoringNetworkConfig
The networking configuration for the monitoring job.
|
| MonitoringOutput
The output object for a monitoring job.
|
| MonitoringOutputConfig
The output configuration for monitoring jobs.
|
| MonitoringParquetDatasetFormat
Represents the Parquet dataset format used when running a monitoring job.
|
| MonitoringProblemType |
| MonitoringResources
Identifies the resources to deploy for a monitoring job.
|
| MonitoringS3Output
Information about where and how you want to store the results of a monitoring job.
|
| MonitoringSchedule
A schedule for a model monitoring job.
|
| MonitoringScheduleConfig
Configures the monitoring schedule and defines the monitoring job.
|
| MonitoringScheduleSortKey |
| MonitoringScheduleSummary
Summarizes the monitoring schedule.
|
| MonitoringStatisticsResource
The statistics resource for a monitoring job.
|
| MonitoringStoppingCondition
A time limit for how long the monitoring job is allowed to run before stopping.
|
| MonitoringType |
| MultiModelConfig
Specifies additional configuration for hosting multi-model endpoints.
|
| NeoVpcConfig
The VpcConfig
configuration object that specifies the VPC that you want the compilation jobs to connect to.
|
| NestedFilters
A list of nested Filter
objects.
|
| NetworkConfig
Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and
outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
|
| NotebookInstanceAcceleratorType |
| NotebookInstanceLifecycleConfigSortKey |
| NotebookInstanceLifecycleConfigSortOrder |
| NotebookInstanceLifecycleConfigSummary
Provides a summary of a notebook instance lifecycle configuration.
|
| NotebookInstanceLifecycleHook
Contains the notebook instance lifecycle configuration script.
|
| NotebookInstanceSortKey |
| NotebookInstanceSortOrder |
| NotebookInstanceStatus |
| NotebookInstanceSummary
Provides summary information for an SageMaker notebook instance.
|
| NotebookOutputOption |
| NotificationConfiguration
Configures Amazon SNS notifications of available or expiring work items for work teams.
|
| ObjectiveStatus |
| ObjectiveStatusCounters
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
| OfflineStoreConfig
The configuration of an
OfflineStore. |
| OfflineStoreStatus
The status of
OfflineStore. |
| OfflineStoreStatusValue |
| OidcConfig
Use this parameter to configure your OIDC Identity Provider (IdP).
|
| OidcConfigForResponse
Your OIDC IdP workforce configuration.
|
| OidcMemberDefinition
A list of user groups that exist in your OIDC Identity Provider (IdP).
|
| OnlineStoreConfig
Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or
KMSKeyId, for at
rest data encryption. |
| OnlineStoreConfigUpdate
Updates the feature group online store configuration.
|
| OnlineStoreSecurityConfig
The security configuration for
OnlineStore. |
| Operator |
| OrderKey |
| OutputCompressionType |
| OutputConfig
Contains information about the output location for the compiled model and the target device that the model runs on.
|
| OutputDataConfig
Provides information about how to store model training results (model artifacts).
|
| OutputParameter
An output parameter of a pipeline step.
|
| ParallelismConfiguration
Configuration that controls the parallelism of the pipeline.
|
| Parameter
Assigns a value to a named Pipeline parameter.
|
| ParameterRange
Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
|
| ParameterRanges
Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
|
| ParameterType |
| Parent
The trial that a trial component is associated with and the experiment the trial is part of.
|
| ParentHyperParameterTuningJob
A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter
tuning job.
|
| PendingDeploymentSummary
The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
|
| PendingProductionVariantSummary
The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint
operations.
|
| Phase
Defines the traffic pattern.
|
| Pipeline
A SageMaker Model Building Pipeline instance.
|
| PipelineDefinitionS3Location
The location of the pipeline definition stored in Amazon S3.
|
| PipelineExecution
An execution of a pipeline.
|
| PipelineExecutionStatus |
| PipelineExecutionStep
An execution of a step in a pipeline.
|
| PipelineExecutionStepMetadata
Metadata for a step execution.
|
| PipelineExecutionSummary
A pipeline execution summary.
|
| PipelineExperimentConfig
Specifies the names of the experiment and trial created by a pipeline.
|
| PipelineStatus |
| PipelineSummary
A summary of a pipeline.
|
| PredefinedMetricSpecification
A specification for a predefined metric.
|
| ProblemType |
| ProcessingClusterConfig
Configuration for the cluster used to run a processing job.
|
| ProcessingFeatureStoreOutput
Configuration for processing job outputs in Amazon SageMaker Feature Store.
|
| ProcessingInput
The inputs for a processing job.
|
| ProcessingInstanceType |
| ProcessingJob
An Amazon SageMaker processing job that is used to analyze data and evaluate models.
|
| ProcessingJobStatus |
| ProcessingJobStepMetadata
Metadata for a processing job step.
|
| ProcessingJobSummary
Summary of information about a processing job.
|
| ProcessingOutput
Describes the results of a processing job.
|
| ProcessingOutputConfig
Configuration for uploading output from the processing container.
|
| ProcessingResources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
| ProcessingS3CompressionType |
| ProcessingS3DataDistributionType |
| ProcessingS3DataType |
| ProcessingS3Input
Configuration for downloading input data from Amazon S3 into the processing container.
|
| ProcessingS3InputMode |
| ProcessingS3Output
Configuration for uploading output data to Amazon S3 from the processing container.
|
| ProcessingS3UploadMode |
| ProcessingStoppingCondition
Configures conditions under which the processing job should be stopped, such as how long the processing job has been
running.
|
| Processor |
| ProductionVariant
Identifies a model that you want to host and the resources chosen to deploy for hosting it.
|
| ProductionVariantAcceleratorType |
| ProductionVariantCoreDumpConfig
Specifies configuration for a core dump from the model container when the process crashes.
|
| ProductionVariantInstanceType |
| ProductionVariantServerlessConfig
Specifies the serverless configuration for an endpoint variant.
|
| ProductionVariantServerlessUpdateConfig
Specifies the serverless update concurrency configuration for an endpoint variant.
|
| ProductionVariantStatus
Describes the status of the production variant.
|
| ProductionVariantSummary
Describes weight and capacities for a production variant associated with an endpoint.
|
| ProfilerConfig
Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
|
| ProfilerConfigForUpdate
Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics
configurations, and storage paths.
|
| ProfilerRuleConfiguration
Configuration information for profiling rules.
|
| ProfilerRuleEvaluationStatus
Information about the status of the rule evaluation.
|
| ProfilingStatus |
| Project
The properties of a project as returned by the Search API.
|
| ProjectSortBy |
| ProjectSortOrder |
| ProjectStatus |
| ProjectSummary
Information about a project.
|
| PropertyNameQuery
Part of the
SuggestionQuery type. |
| PropertyNameSuggestion
A property name returned from a
GetSearchSuggestions call that specifies a value in the
PropertyNameQuery field. |
| ProvisioningParameter
A key value pair used when you provision a project as a service catalog product.
|
| PublicWorkforceTaskPrice
Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
|
| PutModelPackageGroupPolicyRequest |
| PutModelPackageGroupPolicyResult |
| QualityCheckStepMetadata
Container for the metadata for a Quality check step.
|
| QueryFilters
A set of filters to narrow the set of lineage entities connected to the
StartArn(s) returned by the
QueryLineage API action. |
| QueryLineageRequest |
| QueryLineageResult |
| RealTimeInferenceConfig
The infrastructure configuration for deploying the model to a real-time inference endpoint.
|
| RealTimeInferenceRecommendation
The recommended configuration to use for Real-Time Inference.
|
| RecommendationJobCompiledOutputConfig
Provides information about the output configuration for the compiled model.
|
| RecommendationJobContainerConfig
Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API.
|
| RecommendationJobInferenceBenchmark
The details for a specific benchmark from an Inference Recommender job.
|
| RecommendationJobInputConfig
The input configuration of the recommendation job.
|
| RecommendationJobOutputConfig
Provides information about the output configuration for the compiled model.
|
| RecommendationJobPayloadConfig
The configuration for the payload for a recommendation job.
|
| RecommendationJobResourceLimit
Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
|
| RecommendationJobStatus |
| RecommendationJobStoppingConditions
Specifies conditions for stopping a job.
|
| RecommendationJobSupportedEndpointType |
| RecommendationJobType |
| RecommendationJobVpcConfig
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
|
| RecommendationMetrics
The metrics of recommendations.
|
| RecommendationStatus |
| RecommendationStepType |
| RecordWrapper |
| RedshiftDatasetDefinition
Configuration for Redshift Dataset Definition input.
|
| RedshiftResultCompressionType
The compression used for Redshift query results.
|
| RedshiftResultFormat
The data storage format for Redshift query results.
|
| RegisterDevicesRequest |
| RegisterDevicesResult |
| RegisterModelStepMetadata
Metadata for a register model job step.
|
| RenderableTask
Contains input values for a task.
|
| RenderingError
A description of an error that occurred while rendering the template.
|
| RenderUiTemplateRequest |
| RenderUiTemplateResult |
| RepositoryAccessMode |
| RepositoryAuthConfig
Specifies an authentication configuration for the private docker registry where your model image is hosted.
|
| ResolvedAttributes
The resolved attributes.
|
| ResourceCatalog
A resource catalog containing all of the resources of a specific resource type within a resource owner account.
|
| ResourceCatalogSortBy |
| ResourceCatalogSortOrder |
| ResourceConfig
Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model
training.
|
| ResourceConfigForUpdate
The
ResourceConfig to update KeepAlivePeriodInSeconds. |
| ResourceLimits
Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
|
| ResourceSpec
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
|
| ResourceType |
| RetentionPolicy
The retention policy for data stored on an Amazon Elastic File System (EFS) volume.
|
| RetentionType |
| RetryPipelineExecutionRequest |
| RetryPipelineExecutionResult |
| RetryStrategy
The retry strategy to use when a training job fails due to an
InternalServerError. |
| RollingUpdatePolicy
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
|
| RootAccess |
| RSessionAppSettings
A collection of settings that apply to an
RSessionGateway app. |
| RStudioServerProAccessStatus |
| RStudioServerProAppSettings
A collection of settings that configure user interaction with the
RStudioServerPro app. |
| RStudioServerProDomainSettings
A collection of settings that configure the
RStudioServerPro Domain-level app. |
| RStudioServerProDomainSettingsForUpdate
A collection of settings that update the current configuration for the
RStudioServerPro Domain-level
app. |
| RStudioServerProUserGroup |
| RuleEvaluationStatus |
| S3DataDistribution |
| S3DataSource
Describes the S3 data source.
|
| S3DataType |
| S3ModelDataSource
Specifies the S3 location of ML model data to deploy.
|
| S3ModelDataType |
| S3StorageConfig
The Amazon Simple Storage (Amazon S3) location and and security configuration for
OfflineStore. |
| SagemakerServicecatalogStatus |
| ScalingPolicy
An object containing a recommended scaling policy.
|
| ScalingPolicyMetric
The metric for a scaling policy.
|
| ScalingPolicyObjective
An object where you specify the anticipated traffic pattern for an endpoint.
|
| ScheduleConfig
Configuration details about the monitoring schedule.
|
| ScheduleStatus |
| SearchExpression
A multi-expression that searches for the specified resource or resources in a search.
|
| SearchRecord
A single resource returned as part of the Search API response.
|
| SearchRequest |
| SearchResult |
| SearchSortOrder |
| SecondaryStatus |
| SecondaryStatusTransition
An array element of
SecondaryStatusTransitions for DescribeTrainingJob. |
| SelectedStep
A step selected to run in selective execution mode.
|
| SelectiveExecutionConfig
The selective execution configuration applied to the pipeline run.
|
| SelectiveExecutionResult
The ARN from an execution of the current pipeline.
|
| SendPipelineExecutionStepFailureRequest |
| SendPipelineExecutionStepFailureResult |
| SendPipelineExecutionStepSuccessRequest |
| SendPipelineExecutionStepSuccessResult |
| ServiceCatalogProvisionedProductDetails
Details of a provisioned service catalog product.
|
| ServiceCatalogProvisioningDetails
Details that you specify to provision a service catalog product.
|
| ServiceCatalogProvisioningUpdateDetails
Details that you specify to provision a service catalog product.
|
| ShadowModeConfig
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. |
| ShadowModelVariantConfig
The name and sampling percentage of a shadow variant.
|
| SharingSettings
Specifies options for sharing SageMaker Studio notebooks.
|
| ShuffleConfig
A configuration for a shuffle option for input data in a channel.
|
| SortActionsBy |
| SortArtifactsBy |
| SortAssociationsBy |
| SortBy |
| SortContextsBy |
| SortExperimentsBy |
| SortInferenceExperimentsBy |
| SortLineageGroupsBy |
| SortOrder |
| SortPipelineExecutionsBy |
| SortPipelinesBy |
| SortTrialComponentsBy |
| SortTrialsBy |
| SourceAlgorithm
Specifies an algorithm that was used to create the model package.
|
| SourceAlgorithmSpecification
A list of algorithms that were used to create a model package.
|
| SourceIpConfig
A list of IP address ranges (CIDRs).
|
| SpaceDetails
The space's details.
|
| SpaceSettings
A collection of space settings.
|
| SpaceSortKey |
| SpaceStatus |
| SplitType |
| StageStatus |
| Stairs
Defines the stairs traffic pattern for an Inference Recommender load test.
|
| StartEdgeDeploymentStageRequest |
| StartEdgeDeploymentStageResult |
| StartInferenceExperimentRequest |
| StartInferenceExperimentResult |
| StartMonitoringScheduleRequest |
| StartMonitoringScheduleResult |
| StartNotebookInstanceRequest |
| StartNotebookInstanceResult |
| StartPipelineExecutionRequest |
| StartPipelineExecutionResult |
| Statistic |
| StepStatus |
| StopAutoMLJobRequest |
| StopAutoMLJobResult |
| StopCompilationJobRequest |
| StopCompilationJobResult |
| StopEdgeDeploymentStageRequest |
| StopEdgeDeploymentStageResult |
| StopEdgePackagingJobRequest |
| StopEdgePackagingJobResult |
| StopHyperParameterTuningJobRequest |
| StopHyperParameterTuningJobResult |
| StopInferenceExperimentRequest |
| StopInferenceExperimentResult |
| StopInferenceRecommendationsJobRequest |
| StopInferenceRecommendationsJobResult |
| StopLabelingJobRequest |
| StopLabelingJobResult |
| StopMonitoringScheduleRequest |
| StopMonitoringScheduleResult |
| StopNotebookInstanceRequest |
| StopNotebookInstanceResult |
| StoppingCondition
Specifies a limit to how long a model training job or model compilation job can run.
|
| StopPipelineExecutionRequest |
| StopPipelineExecutionResult |
| StopProcessingJobRequest |
| StopProcessingJobResult |
| StopTrainingJobRequest |
| StopTrainingJobResult |
| StopTransformJobRequest |
| StopTransformJobResult |
| StudioLifecycleConfigAppType |
| StudioLifecycleConfigDetails
Details of the Studio Lifecycle Configuration.
|
| StudioLifecycleConfigSortKey |
| SubscribedWorkteam
Describes a work team of a vendor that does the a labelling job.
|
| SuggestionQuery
Specified in the GetSearchSuggestions
request.
|
| TableFormat |
| TabularJobConfig
The collection of settings used by an AutoML job V2 for the
TABULAR problem type. |
| TabularResolvedAttributes
The resolved attributes specific to the
TABULAR problem type. |
| Tag
A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services
resources.
|
| TargetDevice |
| TargetPlatform
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
|
| TargetPlatformAccelerator |
| TargetPlatformArch |
| TargetPlatformOs |
| TargetTrackingScalingPolicyConfiguration
A target tracking scaling policy.
|
| TensorBoardAppSettings
The TensorBoard app settings.
|
| TensorBoardOutputConfig
Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
|
| TextClassificationJobConfig
Stores the configuration information for the text classification problem of an AutoML job V2.
|
| TimeSeriesConfig
The collection of components that defines the time-series.
|
| TimeSeriesForecastingJobConfig
The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
|
| TimeSeriesForecastingSettings
Time series forecast settings for the SageMaker Canvas application.
|
| TimeSeriesTransformations
Transformations allowed on the dataset.
|
| TrafficPattern
Defines the traffic pattern of the load test.
|
| TrafficRoutingConfig
Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new
fleet.
|
| TrafficRoutingConfigType |
| TrafficType |
| TrainingImageConfig
The configuration to use an image from a private Docker registry for a training job.
|
| TrainingInputMode
The training input mode that the algorithm supports.
|
| TrainingInstanceType |
| TrainingJob
Contains information about a training job.
|
| TrainingJobDefinition
Defines the input needed to run a training job using the algorithm.
|
| TrainingJobEarlyStoppingType |
| TrainingJobSortByOptions |
| TrainingJobStatus |
| TrainingJobStatusCounters
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
|
| TrainingJobStepMetadata
Metadata for a training job step.
|
| TrainingJobSummary
Provides summary information about a training job.
|
| TrainingRepositoryAccessMode |
| TrainingRepositoryAuthConfig
An object containing authentication information for a private Docker registry.
|
| TrainingSpecification
Defines how the algorithm is used for a training job.
|
| TransformDataSource
Describes the location of the channel data.
|
| TransformInput
Describes the input source of a transform job and the way the transform job consumes it.
|
| TransformInstanceType |
| TransformJob
A batch transform job.
|
| TransformJobDefinition
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
|
| TransformJobStatus |
| TransformJobStepMetadata
Metadata for a transform job step.
|
| TransformJobSummary
Provides a summary of a transform job.
|
| TransformOutput
Describes the results of a transform job.
|
| TransformResources
Describes the resources, including ML instance types and ML instance count, to use for transform job.
|
| TransformS3DataSource
Describes the S3 data source.
|
| Trial
The properties of a trial as returned by the Search API.
|
| TrialComponent
The properties of a trial component as returned by the Search API.
|
| TrialComponentArtifact
Represents an input or output artifact of a trial component.
|
| TrialComponentMetricSummary
A summary of the metrics of a trial component.
|
| TrialComponentParameterValue
The value of a hyperparameter.
|
| TrialComponentPrimaryStatus |
| TrialComponentSimpleSummary
A short summary of a trial component.
|
| TrialComponentSource
The Amazon Resource Name (ARN) and job type of the source of a trial component.
|
| TrialComponentSourceDetail
Detailed information about the source of a trial component.
|
| TrialComponentStatus
The status of the trial component.
|
| TrialComponentSummary
A summary of the properties of a trial component.
|
| TrialSource
The source of the trial.
|
| TrialSummary
A summary of the properties of a trial.
|
| TtlDuration
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt
= EventTime + TtlDuration. |
| TtlDurationUnit |
| TuningJobCompletionCriteria
The job completion criteria.
|
| TuningJobStepMetaData
Metadata for a tuning step.
|
| UiConfig
Provided configuration information for the worker UI for a labeling job.
|
| UiTemplate
The Liquid template for the worker user interface.
|
| UiTemplateInfo
Container for user interface template information.
|
| UpdateActionRequest |
| UpdateActionResult |
| UpdateAppImageConfigRequest |
| UpdateAppImageConfigResult |
| UpdateArtifactRequest |
| UpdateArtifactResult |
| UpdateCodeRepositoryRequest |
| UpdateCodeRepositoryResult |
| UpdateContextRequest |
| UpdateContextResult |
| UpdateDeviceFleetRequest |
| UpdateDeviceFleetResult |
| UpdateDevicesRequest |
| UpdateDevicesResult |
| UpdateDomainRequest |
| UpdateDomainResult |
| UpdateEndpointRequest |
| UpdateEndpointResult |
| UpdateEndpointWeightsAndCapacitiesRequest |
| UpdateEndpointWeightsAndCapacitiesResult |
| UpdateExperimentRequest |
| UpdateExperimentResult |
| UpdateFeatureGroupRequest |
| UpdateFeatureGroupResult |
| UpdateFeatureMetadataRequest |
| UpdateFeatureMetadataResult |
| UpdateHubRequest |
| UpdateHubResult |
| UpdateImageRequest |
| UpdateImageResult |
| UpdateImageVersionRequest |
| UpdateImageVersionResult |
| UpdateInferenceExperimentRequest |
| UpdateInferenceExperimentResult |
| UpdateModelCardRequest |
| UpdateModelCardResult |
| UpdateModelPackageRequest |
| UpdateModelPackageResult |
| UpdateMonitoringAlertRequest |
| UpdateMonitoringAlertResult |
| UpdateMonitoringScheduleRequest |
| UpdateMonitoringScheduleResult |
| UpdateNotebookInstanceLifecycleConfigRequest |
| UpdateNotebookInstanceLifecycleConfigResult |
| UpdateNotebookInstanceRequest |
| UpdateNotebookInstanceResult |
| UpdatePipelineExecutionRequest |
| UpdatePipelineExecutionResult |
| UpdatePipelineRequest |
| UpdatePipelineResult |
| UpdateProjectRequest |
| UpdateProjectResult |
| UpdateSpaceRequest |
| UpdateSpaceResult |
| UpdateTrainingJobRequest |
| UpdateTrainingJobResult |
| UpdateTrialComponentRequest |
| UpdateTrialComponentResult |
| UpdateTrialRequest |
| UpdateTrialResult |
| UpdateUserProfileRequest |
| UpdateUserProfileResult |
| UpdateWorkforceRequest |
| UpdateWorkforceResult |
| UpdateWorkteamRequest |
| UpdateWorkteamResult |
| USD
Represents an amount of money in United States dollars.
|
| UserContext
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or
model card.
|
| UserProfileDetails
The user profile details.
|
| UserProfileSortKey |
| UserProfileStatus |
| UserSettings
A collection of settings that apply to users of Amazon SageMaker Studio.
|
| VariantProperty
Specifies a production variant property type for an Endpoint.
|
| VariantPropertyType |
| VariantStatus |
| VendorGuidance |
| Vertex
A lineage entity connected to the starting entity(ies).
|
| VpcConfig
Specifies a VPC that your training jobs and hosted models have access to.
|
| WarmPoolResourceStatus |
| WarmPoolStatus
Status and billing information about the warm pool.
|
| Workforce
A single private workforce, which is automatically created when you create your first private work team.
|
| WorkforceStatus |
| WorkforceVpcConfigRequest
The VPC object you use to create or update a workforce.
|
| WorkforceVpcConfigResponse
A VpcConfig object that specifies the VPC that you want your workforce to connect to.
|
| WorkspaceSettings
The workspace settings for the SageMaker Canvas application.
|
| Workteam
Provides details about a labeling work team.
|
Copyright © 2023. All rights reserved.