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

Specifies a metric that the training algorithm writes to stderr or stdout. You can view these logs to understand how your training job performs and check for any errors encountered during training. SageMaker hyperparameter tuning captures all defined metrics. Specify one of the defined metrics to use as an objective metric using the TuningObjective parameter in the HyperParameterTrainingJobDefinition API to evaluate job performance during hyperparameter tuning.

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 37157

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 metrics and environment variables.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 37157

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