Class: Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::DescribeHyperParameterTuningJobResponse

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #autotune ⇒ Types::Autotune

  A flag to indicate if autotune is enabled for the hyperparameter tuning job.

• #best_training_job ⇒ Types::HyperParameterTrainingJobSummary

  A [TrainingJobSummary][1] object that describes the training job that completed with the best current [HyperParameterTuningJobObjective][2].

• #consumed_resources ⇒ Types::HyperParameterTuningJobConsumedResources

  The total resources consumed by your hyperparameter tuning job.

• #creation_time ⇒ Time

  The date and time that the tuning job started.

• #failure_reason ⇒ String

  If the tuning job failed, the reason it failed.

• #hyper_parameter_tuning_end_time ⇒ 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.

• #hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig

  The [HyperParameterTuningJobConfig][1] object that specifies the configuration of the tuning job.

• #hyper_parameter_tuning_job_name ⇒ String

  The name of the hyperparameter tuning job.

• #hyper_parameter_tuning_job_status ⇒ String

  The status of the tuning job.

• #last_modified_time ⇒ Time

  The date and time that the status of the tuning job was modified.

• #objective_status_counters ⇒ Types::ObjectiveStatusCounters

  The [ObjectiveStatusCounters][1] object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.

• #overall_best_training_job ⇒ Types::HyperParameterTrainingJobSummary

  If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the [TrainingJobSummary][1] for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.

• #training_job_definition ⇒ Types::HyperParameterTrainingJobDefinition

  The [HyperParameterTrainingJobDefinition][1] object that specifies the definition of the training jobs that this tuning job launches.

• #training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>

  A list of the [HyperParameterTrainingJobDefinition][1] objects launched for this tuning job.

• #training_job_status_counters ⇒ Types::TrainingJobStatusCounters

  The [TrainingJobStatusCounters][1] object that specifies the number of training jobs, categorized by status, that this tuning job launched.

• #tuning_job_completion_details ⇒ Types::HyperParameterTuningJobCompletionDetails

  Tuning job completion information returned as the response from a hyperparameter tuning job.

• #warm_start_config ⇒ Types::HyperParameterTuningJobWarmStartConfig

  The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point.

Instance Attribute Details

#autotune ⇒ Types::Autotune

A flag to indicate if autotune is enabled for the hyperparameter tuning job.

Returns:

• (Types::Autotune)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#best_training_job ⇒ Types::HyperParameterTrainingJobSummary

A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.

Returns:

• (Types::HyperParameterTrainingJobSummary)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#consumed_resources ⇒ Types::HyperParameterTuningJobConsumedResources

The total resources consumed by your hyperparameter tuning job.

Returns:

• (Types::HyperParameterTuningJobConsumedResources)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#creation_time ⇒ Time

The date and time that the tuning job started.

Returns:

• (Time)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#failure_reason ⇒ String

If the tuning job failed, the reason it failed.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parameter_tuning_end_time ⇒ Time

The date and time that the tuning job ended.

Returns:

• (Time)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parameter_tuning_job_arn ⇒ String

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

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parameter_tuning_job_config ⇒ Types::HyperParameterTuningJobConfig

The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.

Returns:

• (Types::HyperParameterTuningJobConfig)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parameter_tuning_job_name ⇒ String

The name of the hyperparameter tuning job.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#hyper_parameter_tuning_job_status ⇒ String

The status of the tuning job.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#last_modified_time ⇒ Time

The date and time that the status of the tuning job was modified.

Returns:

• (Time)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#objective_status_counters ⇒ Types::ObjectiveStatusCounters

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

Returns:

• (Types::ObjectiveStatusCounters)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#overall_best_training_job ⇒ Types::HyperParameterTrainingJobSummary

If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.

Returns:

• (Types::HyperParameterTrainingJobSummary)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_definition ⇒ Types::HyperParameterTrainingJobDefinition

The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.

Returns:

• (Types::HyperParameterTrainingJobDefinition)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_definitions ⇒ Array<Types::HyperParameterTrainingJobDefinition>

A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.

Returns:

• (Array<Types::HyperParameterTrainingJobDefinition>)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#training_job_status_counters ⇒ Types::TrainingJobStatusCounters

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

Returns:

• (Types::TrainingJobStatusCounters)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#tuning_job_completion_details ⇒ Types::HyperParameterTuningJobCompletionDetails

Tuning job completion information returned as the response from a hyperparameter tuning job. This information tells if your tuning job has or has not converged. It also includes the number of training jobs that have not improved model performance as evaluated against the objective function.

Returns:

• (Types::HyperParameterTuningJobCompletionDetails)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end

#warm_start_config ⇒ Types::HyperParameterTuningJobWarmStartConfig

The configuration for starting the hyperparameter parameter tuning job using one or more previous 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.

Returns:

• (Types::HyperParameterTuningJobWarmStartConfig)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 15660

class DescribeHyperParameterTuningJobResponse < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_config,
  :training_job_definition,
  :training_job_definitions,
  :hyper_parameter_tuning_job_status,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :best_training_job,
  :overall_best_training_job,
  :warm_start_config,
  :autotune,
  :failure_reason,
  :tuning_job_completion_details,
  :consumed_resources)
  SENSITIVE = []
  include Aws::Structure
end