dataSplitConfig

construct an aws.sdk.kotlin.services.sagemaker.model.AutoMlDataSplitConfig inside the given block

This structure specifies how to split the data into train and validation datasets.

The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.

This attribute must not be set for the time-series forecasting problem type, as Autopilot automatically splits the input dataset into training and validation sets.