@java.lang.Override
    public com.google.cloud.vertexai.api.SampledShapleyAttribution getSampledShapleyAttribution() {
      if (sampledShapleyAttributionBuilder_ == null) {
        if (methodCase_ == 1) {
          return (com.google.cloud.vertexai.api.SampledShapleyAttribution) method_;
        }
        return com.google.cloud.vertexai.api.SampledShapleyAttribution.getDefaultInstance();
      } else {
        if (methodCase_ == 1) {
          return sampledShapleyAttributionBuilder_.getMessage();
        }
        return com.google.cloud.vertexai.api.SampledShapleyAttribution.getDefaultInstance();
      }
    }
<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>

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