public Builder mergeSampledShapleyAttribution(
        com.google.cloud.vertexai.api.SampledShapleyAttribution value) {
      if (sampledShapleyAttributionBuilder_ == null) {
        if (methodCase_ == 1
            && method_
                != com.google.cloud.vertexai.api.SampledShapleyAttribution.getDefaultInstance()) {
          method_ =
              com.google.cloud.vertexai.api.SampledShapleyAttribution.newBuilder(
                      (com.google.cloud.vertexai.api.SampledShapleyAttribution) method_)
                  .mergeFrom(value)
                  .buildPartial();
        } else {
          method_ = value;
        }
        onChanged();
      } else {
        if (methodCase_ == 1) {
          sampledShapleyAttributionBuilder_.mergeFrom(value);
        } else {
          sampledShapleyAttributionBuilder_.setMessage(value);
        }
      }
      methodCase_ = 1;
      return this;
    }
<pre>
An attribution method that approximates Shapley values for features that
contribute to the label being predicted. A sampling strategy is used to
approximate the value rather than considering all subsets of features.
Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
</pre>

<code>.google.cloud.vertexai.v1.SampledShapleyAttribution sampled_shapley_attribution = 1;
</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ExplanationParameters.java