HyperParameterTuningJobSearchEntity

The container for the summary information about a training job.

Type: HyperParameterTrainingJobSummary object

Required: No

The total amount of resources consumed by a hyperparameter tuning job.

Type: HyperParameterTuningJobConsumedResources object

Required: No

The time that a hyperparameter tuning job was created.

Type: Timestamp

Required: No

The error that was created when a hyperparameter tuning job failed.

Type: String

Length Constraints: Maximum length of 1024.

Required: No

The time that a hyperparameter tuning job ended.

Type: Timestamp

Required: No

The Amazon Resource Name (ARN) of a hyperparameter 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: No

Configures a hyperparameter tuning job.

Type: HyperParameterTuningJobConfig object

Required: No

The name of a hyperparameter tuning 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

The status of a hyperparameter tuning job.

Type: String

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

Required: No

The time that a hyperparameter tuning job was last modified.

Type: Timestamp

Required: No

Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.

Type: ObjectiveStatusCounters object

Required: No

The container for the summary information about a training job.

Type: HyperParameterTrainingJobSummary object

Required: No

The tags associated with a hyperparameter tuning job. For more information see Tagging AWS resources.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Defines the training jobs launched by a hyperparameter tuning job.

Type: HyperParameterTrainingJobDefinition object

Required: No

The job definitions included in a hyperparameter tuning job.

Type: Array of HyperParameterTrainingJobDefinition objects

Array Members: Minimum number of 1 item. Maximum number of 10 items.

Required: No

The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.

Type: TrainingJobStatusCounters object

Required: No

Information about either a current or completed hyperparameter tuning job.

Type: HyperParameterTuningJobCompletionDetails object

Required: No

Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter 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.

All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.

Type: HyperParameterTuningJobWarmStartConfig object

Required: No