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