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AWS::SageMaker::AutoMLJob AutoMLDataSplitConfig
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.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "ValidationFraction" :Number}
YAML
ValidationFraction:Number
Properties
ValidationFraction-
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.
Required: No
Type: Number
Minimum:
0Maximum:
1Update requires: Replacement