Uses of Class
com.amazonaws.services.sagemaker.model.AutoMLDataSplitConfig

Packages that use AutoMLDataSplitConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of AutoMLDataSplitConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return AutoMLDataSplitConfig

Modifier and Type	Method and Description
AutoMLDataSplitConfig	AutoMLDataSplitConfig.clone()
AutoMLDataSplitConfig	AutoMLJobConfig.getDataSplitConfig() The configuration for splitting the input training dataset.
AutoMLDataSplitConfig	DescribeAutoMLJobV2Result.getDataSplitConfig() Returns the configuration settings of how the data are split into train and validation datasets.
AutoMLDataSplitConfig	CreateAutoMLJobV2Request.getDataSplitConfig() This structure specifies how to split the data into train and validation datasets.
AutoMLDataSplitConfig	AutoMLDataSplitConfig.withValidationFraction(Float validationFraction) The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation.

Methods in com.amazonaws.services.sagemaker.model with parameters of type AutoMLDataSplitConfig

Modifier and Type	Method and Description
void	AutoMLJobConfig.setDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) The configuration for splitting the input training dataset.
void	DescribeAutoMLJobV2Result.setDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) Returns the configuration settings of how the data are split into train and validation datasets.
void	CreateAutoMLJobV2Request.setDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) This structure specifies how to split the data into train and validation datasets.
AutoMLJobConfig	AutoMLJobConfig.withDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) The configuration for splitting the input training dataset.
DescribeAutoMLJobV2Result	DescribeAutoMLJobV2Result.withDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) Returns the configuration settings of how the data are split into train and validation datasets.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) This structure specifies how to split the data into train and validation datasets.