AutoMLDataSplitConfig
This structure specifies how to split the data into train and validation datasets.
If you are using the V1 API (for example CreateAutoMLJob) or the V2 API for
Natural Language Processing problems (for example CreateAutoMLJobV2 with a
TextClassificationJobConfig problem type), the validation and training
datasets must contain the same headers. Also, for V1 API jobs, the validation dataset must
be less than 2 GB in size.
Contents
- 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.
Type: Float
Valid Range: Minimum value of 0. Maximum value of 1.
Required: No
See Also
For more information about using this API in one of the language-specific Amazon SDKs, see the following: