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

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::HyperParameterTrainingJobSummary

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

The container for the summary information about a training job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #creation_time ⇒ Time

  The date and time that the training job was created.

• #failure_reason ⇒ 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.

• #objective_status ⇒ 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.

• #training_job_arn ⇒ String

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

• #training_job_definition_name ⇒ String

  The training job definition name.

• #training_job_name ⇒ String

  The name of the training job.

• #training_job_status ⇒ String

  The status of the training job.

• #training_start_time ⇒ 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.

• #tuning_job_name ⇒ String

  The HyperParameter tuning job that launched the training job.

Instance Attribute Details

#creation_time ⇒ Time

The date and time that the training job was created.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#failure_reason ⇒ String

The reason that the training job failed.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#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.

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_FinalHyperParameterTuningJobObjectiveMetric.html

Returns:

• (Types::FinalHyperParameterTuningJobObjectiveMetric)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#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.

^

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#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 SageMaker detects a job failure.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_arn ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_definition_name ⇒ String

The training job definition name.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_name ⇒ String

The name of the training job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_status ⇒ String

The status of the training job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#training_start_time ⇒ Time

The date and time that the training job started.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#tuned_hyper_parameters ⇒ Hash<String,String>

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

Returns:

• (Hash<String,String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end

#tuning_job_name ⇒ String

The HyperParameter tuning job that launched the training job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 29123

class HyperParameterTrainingJobSummary < Struct.new(
  :training_job_definition_name,
  :training_job_name,
  :training_job_arn,
  :tuning_job_name,
  :creation_time,
  :training_start_time,
  :training_end_time,
  :training_job_status,
  :tuned_hyper_parameters,
  :failure_reason,
  :final_hyper_parameter_tuning_job_objective_metric,
  :objective_status)
  SENSITIVE = []
  include Aws::Structure
end