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

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#autotune ⇒ Types::Autotune

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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].

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobSummary.html [2]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobObjective.html

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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][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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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.

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

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 19768

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