private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.vertexai.api.SampledShapleyAttribution,
            com.google.cloud.vertexai.api.SampledShapleyAttribution.Builder,
            com.google.cloud.vertexai.api.SampledShapleyAttributionOrBuilder>
        getSampledShapleyAttributionFieldBuilder() {
      if (sampledShapleyAttributionBuilder_ == null) {
        if (!(methodCase_ == 1)) {
          method_ = com.google.cloud.vertexai.api.SampledShapleyAttribution.getDefaultInstance();
        }
        sampledShapleyAttributionBuilder_ =
            new com.google.protobuf.SingleFieldBuilderV3<
                com.google.cloud.vertexai.api.SampledShapleyAttribution,
                com.google.cloud.vertexai.api.SampledShapleyAttribution.Builder,
                com.google.cloud.vertexai.api.SampledShapleyAttributionOrBuilder>(
                (com.google.cloud.vertexai.api.SampledShapleyAttribution) method_,
                getParentForChildren(),
                isClean());
        method_ = null;
      }
      methodCase_ = 1;
      onChanged();
      return sampledShapleyAttributionBuilder_;
    }
<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