Class: Aws::SageMaker::Types::AutoMLDataSplitConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::AutoMLDataSplitConfig

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

This structure specifies how to split the data into train and validation datasets.

The validation and training datasets must contain the same headers. For jobs created by calling ‘CreateAutoMLJob`, the validation dataset must be less than 2 GB in size.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #validation_fraction ⇒ Float

  The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.

Instance Attribute Details

#validation_fraction ⇒ Float

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

Returns:

• (Float)

# File 'lib/aws-sdk-sagemaker/types.rb', line 2099

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