class Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse

@!attribute [rw] hyper_parameter_tuning_job_name

The name of the tuning job.
@return [String]

@!attribute [rw] hyper_parameter_tuning_job_arn

The Amazon Resource Name (ARN) of the tuning job.
@return [String]

@!attribute [rw] hyper_parameter_tuning_job_config

The HyperParameterTuningJobConfig object that specifies the
configuration of the tuning job.
@return [Types::HyperParameterTuningJobConfig]

@!attribute [rw] training_job_definition

The HyperParameterTrainingJobDefinition object that specifies the
definition of the training jobs that this tuning job launches.
@return [Types::HyperParameterTrainingJobDefinition]

@!attribute [rw] training_job_definitions

A list of the HyperParameterTrainingJobDefinition objects launched
for this tuning job.
@return [Array<Types::HyperParameterTrainingJobDefinition>]

@!attribute [rw] hyper_parameter_tuning_job_status

The status of the tuning job: InProgress, Completed, Failed,
Stopping, or Stopped.
@return [String]

@!attribute [rw] creation_time

The date and time that the tuning job started.
@return [Time]

@!attribute [rw] hyper_parameter_tuning_end_time

The date and time that the tuning job ended.
@return [Time]

@!attribute [rw] last_modified_time

The date and time that the status of the tuning job was modified.
@return [Time]

@!attribute [rw] training_job_status_counters

The TrainingJobStatusCounters object that specifies the number of
training jobs, categorized by status, that this tuning job launched.
@return [Types::TrainingJobStatusCounters]

@!attribute [rw] objective_status_counters

The ObjectiveStatusCounters object that specifies the number of
training jobs, categorized by the status of their final objective
metric, that this tuning job launched.
@return [Types::ObjectiveStatusCounters]

@!attribute [rw] best_training_job

A TrainingJobSummary object that describes the training job that
completed with the best current HyperParameterTuningJobObjective.
@return [Types::HyperParameterTrainingJobSummary]

@!attribute [rw] overall_best_training_job

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.
@return [Types::HyperParameterTrainingJobSummary]

@!attribute [rw] warm_start_config

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.
@return [Types::HyperParameterTuningJobWarmStartConfig]

@!attribute [rw] failure_reason

If the tuning job failed, the reason it failed.
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeHyperParameterTuningJobResponse AWS API Documentation

Constants

SENSITIVE