Class: Aws::SageMaker::Types::MetricDefinition

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::MetricDefinition

Defined in:

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

Overview

Note:

When making an API call, you may pass MetricDefinition data as a hash:

{
  name: "MetricName", # required
  regex: "MetricRegex", # required
}

Specifies a metric that the training algorithm writes to stderr or stdout . Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #name ⇒ String

  The name of the metric.

• #regex ⇒ String

  A regular expression that searches the output of a training job and gets the value of the metric.

Instance Attribute Details

#name ⇒ String

The name of the metric.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16188

class MetricDefinition < Struct.new(
  :name,
  :regex)
  SENSITIVE = []
  include Aws::Structure
end

#regex ⇒ String

A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 16188

class MetricDefinition < Struct.new(
  :name,
  :regex)
  SENSITIVE = []
  include Aws::Structure
end