You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.

Class: Aws::SageMaker::Types::HyperParameterTrainingJobSummary

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

Overview

Instance Attribute Summary collapse

Instance Attribute Details

#creation_time ⇒ Time

The date and time that the training job was created.

Returns:

  • (Time) —

    The date and time that the training job was created.

#failure_reason ⇒ String

The reason that the training job failed.

Returns:

  • (String) —

    The reason that the training job failed.

#final_hyper_parameter_tuning_job_objective_metric ⇒ Types::FinalHyperParameterTuningJobObjectiveMetric

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

Returns:

#objective_status ⇒ 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.

^

Possible values:

  • Succeeded
  • Pending
  • Failed

Returns:

  • (String) —

    The status of the objective metric for the training job:.

#training_end_time ⇒ Time

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 Amazon SageMaker detects a job failure.

Returns:

  • (Time) —

    Specifies the time when the training job ends on training instances.

#training_job_arn ⇒ String

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

Returns:

  • (String) —

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

#training_job_definition_name ⇒ String

The training job definition name.

Returns:

  • (String) —

    The training job definition name.

#training_job_name ⇒ String

The name of the training job.

Returns:

  • (String) —

    The name of the training job.

#training_job_status ⇒ String

The status of the training job.

Possible values:

  • InProgress
  • Completed
  • Failed
  • Stopping
  • Stopped

Returns:

  • (String) —

    The status of the training job.

#training_start_time ⇒ Time

The date and time that the training job started.

Returns:

  • (Time) —

    The date and time that the training job started.

#tuned_hyper_parameters ⇒ Hash<String,String>

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

Returns:

  • (Hash<String,String>) —

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

#tuning_job_name ⇒ String

The HyperParameter tuning job that launched the training job.

Returns:

  • (String) —

    The HyperParameter tuning job that launched the training job.