Class: Aws::SageMaker::Types::HyperParameterTuningJobObjective

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::HyperParameterTuningJobObjective

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the ‘Type` parameter. If you want to define a custom objective metric, see [Define metrics and environment variables].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics-variables.html

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #metric_name ⇒ String

  The name of the metric to use for the objective metric.

• #type ⇒ String

  Whether to minimize or maximize the objective metric.

Instance Attribute Details

#metric_name ⇒ String

The name of the metric to use for the objective metric.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 24461

class HyperParameterTuningJobObjective < Struct.new(
  :type,
  :metric_name)
  SENSITIVE = []
  include Aws::Structure
end

#type ⇒ String

Whether to minimize or maximize the objective metric.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 24461

class HyperParameterTuningJobObjective < Struct.new(
  :type,
  :metric_name)
  SENSITIVE = []
  include Aws::Structure
end