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Paws::SageMaker::DescribeHyperParameterTuningJobResponse(3) User Contributed Perl Documentation Paws::SageMaker::DescribeHyperParameterTuningJobResponse(3)

Paws::SageMaker::DescribeHyperParameterTuningJobResponse

A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.

REQUIRED CreationTime => Str

The date and time that the tuning job started.

If the tuning job failed, the reason it failed.

The date and time that the tuning job ended.

REQUIRED HyperParameterTuningJobArn => Str

The Amazon Resource Name (ARN) of the tuning job.

REQUIRED HyperParameterTuningJobConfig => Paws::SageMaker::HyperParameterTuningJobConfig

The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.

REQUIRED HyperParameterTuningJobName => Str

The name of the tuning job.

REQUIRED HyperParameterTuningJobStatus => Str

The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.

Valid values are: "Completed", "InProgress", "Failed", "Stopped", "Stopping" =head2 LastModifiedTime => Str

The date and time that the status of the tuning job was modified.

REQUIRED ObjectiveStatusCounters => Paws::SageMaker::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.

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.

The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.

A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.

REQUIRED TrainingJobStatusCounters => Paws::SageMaker::TrainingJobStatusCounters

The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.

The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

2022-06-01 perl v5.40.2

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