HyperParameterTrainingJobSummary - Amazon SageMaker

HyperParameterTrainingJobSummary

The container for the summary information about a training job.

Contents

CreationTime

The date and time that the training job was created.

Type: Timestamp

Required: Yes

TrainingJobArn

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

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:training-job/.*

Required: Yes

TrainingJobName

The name of the training job.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}

Required: Yes

TrainingJobStatus

The status of the training job.

Type: String

Valid Values: InProgress | Completed | Failed | Stopping | Stopped

Required: Yes

TunedHyperParameters

A list of the hyperparameters for which you specified ranges to search.

Type: String to string map

Map Entries: Minimum number of 0 items. Maximum number of 100 items.

Key Length Constraints: Maximum length of 256.

Key Pattern: .*

Value Length Constraints: Maximum length of 2500.

Value Pattern: .*

Required: Yes

FailureReason

The reason that the training job failed.

Type: String

Length Constraints: Maximum length of 1024.

Required: No

FinalHyperParameterTuningJobObjectiveMetric

The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.

Type: FinalHyperParameterTuningJobObjectiveMetric object

Required: No

ObjectiveStatus

The status of the objective metric for the training job:

  • Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

  • Pending: The training job is in progress and evaluation of its final objective metric is pending.

  • Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

Type: String

Valid Values: Succeeded | Pending | Failed

Required: No

TrainingEndTime

Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

Type: Timestamp

Required: No

TrainingJobDefinitionName

The training job definition name.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}

Required: No

TrainingStartTime

The date and time that the training job started.

Type: Timestamp

Required: No

TuningJobName

The HyperParameter tuning job that launched the training job.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 32.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: