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AutoMLDataSplitConfig

import type { AutoMLDataSplitConfig } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";

This structure specifies how to split the data into train and validation datasets. The validation and training datasets must contain the same headers. The validation dataset must be less than 2 GB in size.

interface AutoMLDataSplitConfig {
ValidationFraction?: number | null;
}

§Properties

§
ValidationFraction?: number | null
[src]

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.