@java.lang.Override
    public com.google.cloud.vertexai.api.XraiAttribution getXraiAttribution() {
      if (xraiAttributionBuilder_ == null) {
        if (methodCase_ == 3) {
          return (com.google.cloud.vertexai.api.XraiAttribution) method_;
        }
        return com.google.cloud.vertexai.api.XraiAttribution.getDefaultInstance();
      } else {
        if (methodCase_ == 3) {
          return xraiAttributionBuilder_.getMessage();
        }
        return com.google.cloud.vertexai.api.XraiAttribution.getDefaultInstance();
      }
    }
<pre>
An attribution method that redistributes Integrated Gradients
attribution to segmented regions, taking advantage of the model's fully
differentiable structure. Refer to this paper for
more details: https://arxiv.org/abs/1906.02825

XRAI currently performs better on natural images, like a picture of a
house or an animal. If the images are taken in artificial environments,
like a lab or manufacturing line, or from diagnostic equipment, like
x-rays or quality-control cameras, use Integrated Gradients instead.
</pre>

<code>.google.cloud.vertexai.v1.XraiAttribution xrai_attribution = 3;</code>

@return The xraiAttribution.
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ExplanationParameters.java