Uses of Class
com.amazonaws.services.sagemaker.model.AutoMLCandidate

Packages that use AutoMLCandidate

Package	Description
com.amazonaws.services.sagemaker.model

Uses of AutoMLCandidate in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return AutoMLCandidate

Modifier and Type	Method and Description
AutoMLCandidate	AutoMLCandidate.addInferenceContainerDefinitionsEntry(String key, List<AutoMLContainerDefinition> value) Add a single InferenceContainerDefinitions entry
AutoMLCandidate	AutoMLCandidate.clearInferenceContainerDefinitionsEntries() Removes all the entries added into InferenceContainerDefinitions.
AutoMLCandidate	AutoMLCandidate.clone()
AutoMLCandidate	DescribeAutoMLJobV2Result.getBestCandidate() Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
AutoMLCandidate	DescribeAutoMLJobResult.getBestCandidate() The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
AutoMLCandidate	AutoMLCandidate.withCandidateName(String candidateName) The name of the candidate.
AutoMLCandidate	AutoMLCandidate.withCandidateProperties(CandidateProperties candidateProperties) The properties of an AutoML candidate job.
AutoMLCandidate	AutoMLCandidate.withCandidateStatus(CandidateStatus candidateStatus) The candidate's status.
AutoMLCandidate	AutoMLCandidate.withCandidateStatus(String candidateStatus) The candidate's status.
AutoMLCandidate	AutoMLCandidate.withCandidateSteps(AutoMLCandidateStep... candidateSteps) Information about the candidate's steps.
AutoMLCandidate	AutoMLCandidate.withCandidateSteps(Collection<AutoMLCandidateStep> candidateSteps) Information about the candidate's steps.
AutoMLCandidate	AutoMLCandidate.withCreationTime(Date creationTime) The creation time.
AutoMLCandidate	AutoMLCandidate.withEndTime(Date endTime) The end time.
AutoMLCandidate	AutoMLCandidate.withFailureReason(String failureReason) The failure reason.
AutoMLCandidate	AutoMLCandidate.withFinalAutoMLJobObjectiveMetric(FinalAutoMLJobObjectiveMetric finalAutoMLJobObjectiveMetric)
AutoMLCandidate	AutoMLCandidate.withInferenceContainerDefinitions(Map<String,List<AutoMLContainerDefinition>> inferenceContainerDefinitions) The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate.
AutoMLCandidate	AutoMLCandidate.withInferenceContainers(AutoMLContainerDefinition... inferenceContainers) Information about the recommended inference container definitions.
AutoMLCandidate	AutoMLCandidate.withInferenceContainers(Collection<AutoMLContainerDefinition> inferenceContainers) Information about the recommended inference container definitions.
AutoMLCandidate	AutoMLCandidate.withLastModifiedTime(Date lastModifiedTime) The last modified time.
AutoMLCandidate	AutoMLCandidate.withObjectiveStatus(ObjectiveStatus objectiveStatus) The objective's status.
AutoMLCandidate	AutoMLCandidate.withObjectiveStatus(String objectiveStatus) The objective's status.

Methods in com.amazonaws.services.sagemaker.model that return types with arguments of type AutoMLCandidate

Modifier and Type	Method and Description
List<AutoMLCandidate>	ListCandidatesForAutoMLJobResult.getCandidates() Summaries about the AutoMLCandidates.

Methods in com.amazonaws.services.sagemaker.model with parameters of type AutoMLCandidate

Modifier and Type	Method and Description
void	DescribeAutoMLJobV2Result.setBestCandidate(AutoMLCandidate bestCandidate) Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
void	DescribeAutoMLJobResult.setBestCandidate(AutoMLCandidate bestCandidate) The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
DescribeAutoMLJobV2Result	DescribeAutoMLJobV2Result.withBestCandidate(AutoMLCandidate bestCandidate) Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
DescribeAutoMLJobResult	DescribeAutoMLJobResult.withBestCandidate(AutoMLCandidate bestCandidate) The best model candidate selected by SageMaker Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
ListCandidatesForAutoMLJobResult	ListCandidatesForAutoMLJobResult.withCandidates(AutoMLCandidate... candidates) Summaries about the AutoMLCandidates.

Method parameters in com.amazonaws.services.sagemaker.model with type arguments of type AutoMLCandidate

Modifier and Type	Method and Description
void	ListCandidatesForAutoMLJobResult.setCandidates(Collection<AutoMLCandidate> candidates) Summaries about the AutoMLCandidates.
ListCandidatesForAutoMLJobResult	ListCandidatesForAutoMLJobResult.withCandidates(Collection<AutoMLCandidate> candidates) Summaries about the AutoMLCandidates.