public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      if (outputIndicesBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        outputIndices_ = value;
      } else {
        outputIndicesBuilder_.setMessage(value);
      }
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }
<pre>
If populated, only returns attributions that have
[output_index][google.cloud.aiplatform.v1.Attribution.output_index]
contained in output_indices. It must be an ndarray of integers, with the
same shape of the output it's explaining.

If not populated, returns attributions for
[top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k] indices of
outputs. If neither top_k nor output_indices is populated, returns the
argmax index of the outputs.

Only applicable to Models that predict multiple outputs (e,g, multi-class
Models that predict multiple classes).
</pre>

<code>.google.protobuf.ListValue output_indices = 5;</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ExplanationParameters.java