Uses of Interface software.amazon.awssdk.services.sagemaker.model.AutoMLDataSplitConfig.Builder (AWS Java SDK :: Services :: Amazon SageMaker 2.26.7 API)

Packages that use AutoMLDataSplitConfig.Builder
Package Description

software.amazon.awssdk.services.sagemaker.model

Uses of AutoMLDataSplitConfig.Builder in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return AutoMLDataSplitConfig.Builder
Modifier and Type	Method	Description
`static AutoMLDataSplitConfig.Builder`	AutoMLDataSplitConfig.`builder()`
`AutoMLDataSplitConfig.Builder`	AutoMLDataSplitConfig.`toBuilder()`
`AutoMLDataSplitConfig.Builder`	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 in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type AutoMLDataSplitConfig.Builder
Modifier and Type	Method	Description
`static Class<? extends AutoMLDataSplitConfig.Builder>`	AutoMLDataSplitConfig.`serializableBuilderClass()`

Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type AutoMLDataSplitConfig.Builder
Modifier and Type	Method	Description
`default AutoMLJobConfig.Builder`	AutoMLJobConfig.Builder.`dataSplitConfig(Consumer<AutoMLDataSplitConfig.Builder> dataSplitConfig)`	The configuration for splitting the input training dataset.
`default CreateAutoMlJobV2Request.Builder`	CreateAutoMlJobV2Request.Builder.`dataSplitConfig(Consumer<AutoMLDataSplitConfig.Builder> dataSplitConfig)`	This structure specifies how to split the data into train and validation datasets.
`default DescribeAutoMlJobV2Response.Builder`	DescribeAutoMlJobV2Response.Builder.`dataSplitConfig(Consumer<AutoMLDataSplitConfig.Builder> dataSplitConfig)`	Returns the configuration settings of how the data are split into train and validation datasets.