public Builder mergeIntegratedGradientsAttribution(
        com.google.cloud.vertexai.api.IntegratedGradientsAttribution value) {
      if (integratedGradientsAttributionBuilder_ == null) {
        if (methodCase_ == 2
            && method_
                != com.google.cloud.vertexai.api.IntegratedGradientsAttribution
                    .getDefaultInstance()) {
          method_ =
              com.google.cloud.vertexai.api.IntegratedGradientsAttribution.newBuilder(
                      (com.google.cloud.vertexai.api.IntegratedGradientsAttribution) method_)
                  .mergeFrom(value)
                  .buildPartial();
        } else {
          method_ = value;
        }
        onChanged();
      } else {
        if (methodCase_ == 2) {
          integratedGradientsAttributionBuilder_.mergeFrom(value);
        } else {
          integratedGradientsAttributionBuilder_.setMessage(value);
        }
      }
      methodCase_ = 2;
      return this;
    }
<pre>
An attribution method that computes Aumann-Shapley values taking
advantage of the model's fully differentiable structure. Refer to this
paper for more details: https://arxiv.org/abs/1703.01365
</pre>

<code>
.google.cloud.vertexai.v1.IntegratedGradientsAttribution integrated_gradients_attribution = 2;
</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ExplanationParameters.java