public java.util.List<AutoMLJobChannel> getAutoMLJobInputDataConfig() {
        return autoMLJobInputDataConfig;
    }
<p>
An array of channel objects describing the input data and their location. Each channel is a named input source.
Similar to the <a href=
"https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.html#sagemaker-CreateAutoMLJob-request-InputDataConfig"
>InputDataConfig</a> attribute in the <code>CreateAutoMLJob</code> input parameters. The supported formats depend
on the problem type:
</p>
<ul>
<li>
<p>
For tabular problem types: <code>S3Prefix</code>, <code>ManifestFile</code>.
</p>
</li>
<li>
<p>
For image classification: <code>S3Prefix</code>, <code>ManifestFile</code>, <code>AugmentedManifestFile</code>.
</p>
</li>
<li>
<p>
For text classification: <code>S3Prefix</code>.
</p>
</li>
<li>
<p>
For time-series forecasting: <code>S3Prefix</code>.
</p>
</li>
<li>
<p>
For text generation (LLMs fine-tuning): <code>S3Prefix</code>.
</p>
</li>
</ul>

@return An array of channel objects describing the input data and their location. Each channel is a named input
        source. Similar to the <a href=
        "https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.html#sagemaker-CreateAutoMLJob-request-InputDataConfig"
        >InputDataConfig</a> attribute in the <code>CreateAutoMLJob</code> input parameters. The supported
        formats depend on the problem type:</p>
        <ul>
        <li>
        <p>
        For tabular problem types: <code>S3Prefix</code>, <code>ManifestFile</code>.
        </p>
        </li>
        <li>
        <p>
        For image classification: <code>S3Prefix</code>, <code>ManifestFile</code>,
        <code>AugmentedManifestFile</code>.
        </p>
        </li>
        <li>
        <p>
        For text classification: <code>S3Prefix</code>.
        </p>
        </li>
        <li>
        <p>
        For time-series forecasting: <code>S3Prefix</code>.
        </p>
        </li>
        <li>
        <p>
        For text generation (LLMs fine-tuning): <code>S3Prefix</code>.
        </p>
        </li>
aws-java-sdk-sagemaker/src/main/java/com/amazonaws/services/sagemaker/model/CreateAutoMLJobV2Request.java