Amazon SageMaker
Developer Guide

HyperParameterTuningJobSummary

Provides summary information about a hyperparameter tuning job.

Contents

CreationTime

The date and time that the tuning job was created.

Type: Timestamp

Required: Yes

HyperParameterTuningEndTime

The date and time that the tuning job ended.

Type: Timestamp

Required: No

HyperParameterTuningJobArn

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

Type: String

Length Constraints: Maximum length of 256.

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

Required: Yes

HyperParameterTuningJobName

The name of the tuning job.

Type: String

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

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*

Required: Yes

HyperParameterTuningJobStatus

The status of the tuning job.

Type: String

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

Required: Yes

LastModifiedTime

The date and time that the tuning job was modified.

Type: Timestamp

Required: No

ObjectiveStatusCounters

The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

Type: ObjectiveStatusCounters object

Required: Yes

ResourceLimits

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

Type: ResourceLimits object

Required: No

Strategy

Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

Type: String

Valid Values: Bayesian

Required: Yes

TrainingJobStatusCounters

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

Type: TrainingJobStatusCounters object

Required: Yes

See Also

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

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