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[ aws . sagemaker ]



Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

list-training-jobs-for-hyper-parameter-tuning-job is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: TrainingJobSummaries


--hyper-parameter-tuning-job-name <value>
[--status-equals <value>]
[--sort-by <value>]
[--sort-order <value>]
[--cli-input-json <value>]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]


--hyper-parameter-tuning-job-name (string)

The name of the tuning job whose training jobs you want to list.

--status-equals (string)

A filter that returns only training jobs with the specified status.

Possible values:

  • InProgress
  • Completed
  • Failed
  • Stopping
  • Stopped

--sort-by (string)

The field to sort results by. The default is Name .

If the value of this field is FinalObjectiveMetricValue , any training jobs that did not return an objective metric are not listed.

Possible values:

  • Name
  • CreationTime
  • Status
  • FinalObjectiveMetricValue

--sort-order (string)

The sort order for results. The default is Ascending .

Possible values:

  • Ascending
  • Descending

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--starting-token (string)

A token to specify where to start paginating. This is the NextToken from a previously truncated response.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command's output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command's output. If the total number of items available is more than the value specified, a NextToken is provided in the command's output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.


TrainingJobSummaries -> (list)

A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.


The container for the summary information about a training job.

TrainingJobDefinitionName -> (string)

The training job definition name.

TrainingJobName -> (string)

The name of the training job.

TrainingJobArn -> (string)

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

TuningJobName -> (string)

The HyperParameter tuning job that launched the training job.

CreationTime -> (timestamp)

The date and time that the training job was created.

TrainingStartTime -> (timestamp)

The date and time that the training job started.

TrainingEndTime -> (timestamp)

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.

TrainingJobStatus -> (string)

The status of the training job.

TunedHyperParameters -> (map)

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

key -> (string)

value -> (string)

FailureReason -> (string)

The reason that the training job failed.

FinalHyperParameterTuningJobObjectiveMetric -> (structure)

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

Type -> (string)

Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.

MetricName -> (string)

The name of the objective metric.

Value -> (float)

The value of the objective metric.

ObjectiveStatus -> (string)

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.

NextToken -> (string)

If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response includes a NextToken . To retrieve the next set of training jobs, use the token in the next request.