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

Inherits:
Struct
  • Object
show all
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:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 2215

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