Class: Aws::SageMaker::Types::Autotune

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::Autotune

Defined in:

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

Overview

A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:

• ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.

• ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.

• TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.

• RetryStrategy: The number of times to retry a training job.

• Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.

• ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #mode ⇒ String

  Set Mode to Enabled if you want to use Autotune.

Instance Attribute Details

#mode ⇒ String

Set Mode to Enabled if you want to use Autotune.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2776

class Autotune < Struct.new(
  :mode)
  SENSITIVE = []
  include Aws::Structure
end