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Class: Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Instance Attribute Summary collapse

Instance Attribute Details

#best_training_jobTypes::HyperParameterTrainingJobSummary

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

Returns:

#creation_timeTime

The date and time that the tuning job started.

Returns:

  • (Time)

    The date and time that the tuning job started.

#failure_reasonString

If the tuning job failed, the reason it failed.

Returns:

  • (String)

    If the tuning job failed, the reason it failed.

#hyper_parameter_tuning_end_timeTime

The date and time that the tuning job ended.

Returns:

  • (Time)

    The date and time that the tuning job ended.

#hyper_parameter_tuning_job_arnString

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

Returns:

  • (String)

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

#hyper_parameter_tuning_job_configTypes::HyperParameterTuningJobConfig

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

Returns:

#hyper_parameter_tuning_job_nameString

The name of the tuning job.

Returns:

  • (String)

    The name of the tuning job.

#hyper_parameter_tuning_job_statusString

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

Possible values:

  • Completed
  • InProgress
  • Failed
  • Stopped
  • Stopping

Returns:

  • (String)

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

#last_modified_timeTime

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

Returns:

  • (Time)

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

#objective_status_countersTypes::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.

Returns:

#overall_best_training_jobTypes::HyperParameterTrainingJobSummary

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.

Returns:

  • (Types::HyperParameterTrainingJobSummary)

    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.

#training_job_definitionTypes::HyperParameterTrainingJobDefinition

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

Returns:

#training_job_status_countersTypes::TrainingJobStatusCounters

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

Returns:

#warm_start_configTypes::HyperParameterTuningJobWarmStartConfig

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.

Returns: