public AutoMLDataSplitConfig getDataSplitConfig() {
        return this.dataSplitConfig;
    }
<p>
This structure specifies how to split the data into train and validation datasets.
</p>
<p>
The validation and training datasets must contain the same headers. For jobs created by calling
<code>CreateAutoMLJob</code>, the validation dataset must be less than 2 GB in size.
</p>
<note>
<p>
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.
</p>
</note>

@return This structure specifies how to split the data into train and validation datasets.</p>
        <p>
        The validation and training datasets must contain the same headers. For jobs created by calling
        <code>CreateAutoMLJob</code>, the validation dataset must be less than 2 GB in size.
        </p>
        <note>
        <p>
        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.
        </p>
aws-java-sdk-sagemaker/src/main/java/com/amazonaws/services/sagemaker/model/CreateAutoMLJobV2Request.java