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

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::HyperParameterTuningJobSummary

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Provides summary information about a hyperparameter tuning job.

See Also:

• AWS API Documentation

Instance Attribute Summary

• #creation_time ⇒ 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.

• #hyper_parameter_tuning_job_arn ⇒ String

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

• #hyper_parameter_tuning_job_name ⇒ String

  The name of the tuning job.

• #hyper_parameter_tuning_job_status ⇒ String

  The status of the tuning job.

• #last_modified_time ⇒ 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.

• #resource_limits ⇒ Types::ResourceLimits

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

• #strategy ⇒ 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.

Instance Attribute Details

#creation_time ⇒ Time

The date and time that the tuning job was created.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#hyper_parameter_tuning_end_time ⇒ Time

The date and time that the tuning job ended.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#hyper_parameter_tuning_job_arn ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#hyper_parameter_tuning_job_name ⇒ String

The name of the tuning job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#hyper_parameter_tuning_job_status ⇒ String

The status of the tuning job.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#last_modified_time ⇒ Time

The date and time that the tuning job was modified.

Returns:

• (Time)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#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:

• (Types::ObjectiveStatusCounters)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#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:

• (Types::ResourceLimits)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#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.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end

#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:

• (Types::TrainingJobStatusCounters)

# File 'lib/aws-sdk-sagemaker/types.rb', line 10836

class HyperParameterTuningJobSummary < Struct.new(
  :hyper_parameter_tuning_job_name,
  :hyper_parameter_tuning_job_arn,
  :hyper_parameter_tuning_job_status,
  :strategy,
  :creation_time,
  :hyper_parameter_tuning_end_time,
  :last_modified_time,
  :training_job_status_counters,
  :objective_status_counters,
  :resource_limits)
  include Aws::Structure
end