AutoMLDataSplitConfig.Builder (AWS Java SDK :: Services :: Amazon SageMaker 2.26.1 API)

All Superinterfaces:

Buildable, CopyableBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>, SdkBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>, SdkPojo

Enclosing class:

AutoMLDataSplitConfig
```
public static interface AutoMLDataSplitConfig.Builder
extends SdkPojo, CopyableBuilder<AutoMLDataSplitConfig.Builder,AutoMLDataSplitConfig>
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`AutoMLDataSplitConfig.Builder`	`validationFraction(Float validationFraction)`	The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields

- Method Detail
  - validationFraction
```
AutoMLDataSplitConfig.Builder validationFraction(Float 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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.