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Class: Aws::SageMaker::Types::HyperParameterTuningJobSummary

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Provides summary information about a hyperparameter tuning job.

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#creation_time ⇒ Time

The date and time that the tuning job was created.

Returns:

  • (Time) —

    The date and time that the tuning job was created.

#hyper_parameter_tuning_end_time ⇒ Time

The date and time that the tuning job ended.

Returns:

  • (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.

Returns:

  • (String) —

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

#hyper_parameter_tuning_job_name ⇒ String

The name of the tuning job.

Returns:

  • (String) —

    The name of the tuning job.

#hyper_parameter_tuning_job_status ⇒ String

The status of the tuning job.

Possible values:

  • Completed
  • InProgress
  • Failed
  • Stopped
  • Stopping

Returns:

  • (String) —

    The status of the tuning job.

#last_modified_time ⇒ Time

The date and time that the tuning job was modified.

Returns:

  • (Time) —

    The date and time that the tuning job was modified.

#objective_status_counters ⇒ Types::ObjectiveStatusCounters

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

Returns:

#resource_limits ⇒ Types::ResourceLimits

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

Returns:

#strategy ⇒ String

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

Possible values:

  • Bayesian
  • Random

Returns:

  • (String) —

    Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration.

#training_job_status_counters ⇒ Types::TrainingJobStatusCounters

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

Returns: