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Class: Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse
- Defined in:
- (unknown)
Overview
Returned by:
Instance Attribute Summary collapse
-
#best_training_job ⇒ Types::HyperParameterTrainingJobSummary
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
-
#creation_time ⇒ Time
The date and time that the tuning job started.
-
#failure_reason ⇒ String
If the tuning job failed, the reason it failed.
-
#hyper_parameter_tuning_end_time ⇒ Time
The date and time that the tuning job ended.
-
#hyper_parameter_tuning_job_arn ⇒ String
The Amazon Resource Name (ARN) of the tuning job.
-
#hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
-
#hyper_parameter_tuning_job_name ⇒ String
The name of the tuning job.
-
#hyper_parameter_tuning_job_status ⇒ String
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
-
#last_modified_time ⇒ Time
The date and time that the status of the tuning job was modified.
-
#objective_status_counters ⇒ Types::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.
-
#overall_best_training_job ⇒ Types::HyperParameterTrainingJobSummary
If the hyperparameter tuning job is an warm start tuning job with a
WarmStartType
ofIDENTICAL_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_definition ⇒ Types::HyperParameterTrainingJobDefinition
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
-
#training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
-
#training_job_status_counters ⇒ Types::TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
-
#warm_start_config ⇒ Types::HyperParameterTuningJobWarmStartConfig
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point.
Instance Attribute Details
#best_training_job ⇒ Types::HyperParameterTrainingJobSummary
A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
#creation_time ⇒ Time
The date and time that the tuning job started.
#failure_reason ⇒ String
If the tuning job failed, the reason it failed.
#hyper_parameter_tuning_end_time ⇒ Time
The date and time that the tuning job ended.
#hyper_parameter_tuning_job_arn ⇒ String
The Amazon Resource Name (ARN) of the tuning job.
#hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig
The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
#hyper_parameter_tuning_job_name ⇒ String
The name of the tuning job.
#hyper_parameter_tuning_job_status ⇒ String
The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
Possible values:
- Completed
- InProgress
- Failed
- Stopped
- Stopping
#last_modified_time ⇒ Time
The date and time that the status of the tuning job was modified.
#objective_status_counters ⇒ Types::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.
#overall_best_training_job ⇒ 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_definition ⇒ Types::HyperParameterTrainingJobDefinition
The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
#training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>
A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
#training_job_status_counters ⇒ Types::TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
#warm_start_config ⇒ Types::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.