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

Packages that use DescribeHyperParameterTuningJobResult

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
com.amazonaws.services.sagemaker.model

Uses of DescribeHyperParameterTuningJobResult in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker that return DescribeHyperParameterTuningJobResult

Modifier and Type	Method and Description
DescribeHyperParameterTuningJobResult	AmazonSageMakerClient.describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest request) Gets a description of a hyperparameter tuning job.
DescribeHyperParameterTuningJobResult	AmazonSageMaker.describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest) Gets a description of a hyperparameter tuning job.
DescribeHyperParameterTuningJobResult	AbstractAmazonSageMaker.describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest request)

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

Modifier and Type	Method and Description
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest) Gets a description of a hyperparameter tuning job.
Future<DescribeHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler) Gets a description of a hyperparameter tuning job.
Future<DescribeHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)

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

Modifier and Type	Method and Description
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsyncClient.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)
Future<DescribeHyperParameterTuningJobResult>	AmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler) Gets a description of a hyperparameter tuning job.
Future<DescribeHyperParameterTuningJobResult>	AbstractAmazonSageMakerAsync.describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)

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

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

Modifier and Type	Method and Description
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.clone()
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob) A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withCreationTime(Date creationTime) The date and time that the tuning job started.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withFailureReason(String failureReason) If the tuning job failed, the reason it failed.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningEndTime(Date hyperParameterTuningEndTime) The date and time that the tuning job ended.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobArn(String hyperParameterTuningJobArn) The Amazon Resource Name (ARN) of the tuning job.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobConfig(HyperParameterTuningJobConfig hyperParameterTuningJobConfig) The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobName(String hyperParameterTuningJobName) The name of the tuning job.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobStatus(HyperParameterTuningJobStatus hyperParameterTuningJobStatus) The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withHyperParameterTuningJobStatus(String hyperParameterTuningJobStatus) The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withLastModifiedTime(Date lastModifiedTime) The date and time that the status of the tuning job was modified.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withObjectiveStatusCounters(ObjectiveStatusCounters objectiveStatusCounters) The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob) 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.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withTrainingJobDefinition(HyperParameterTrainingJobDefinition trainingJobDefinition) The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withTrainingJobDefinitions(Collection<HyperParameterTrainingJobDefinition> trainingJobDefinitions) A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withTrainingJobDefinitions(HyperParameterTrainingJobDefinition... trainingJobDefinitions) A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withTrainingJobStatusCounters(TrainingJobStatusCounters trainingJobStatusCounters) The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withWarmStartConfig(HyperParameterTuningJobWarmStartConfig warmStartConfig) The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point.