public void setAutoMLJobInputDataConfig(java.util.Collection<AutoMLJobChannel> autoMLJobInputDataConfig) {
        if (autoMLJobInputDataConfig == null) {
            this.autoMLJobInputDataConfig = null;
            return;
        }

        this.autoMLJobInputDataConfig = new java.util.ArrayList<AutoMLJobChannel>(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>

@param autoMLJobInputDataConfig
       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