public void setDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) {
        this.dataSplitConfig = 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>

@param dataSplitConfig
       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