@java.lang.Override
        public ExplanationParameters parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          Builder builder = newBuilder();
          try {
            builder.mergeFrom(input, extensionRegistry);
          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
            throw e.setUnfinishedMessage(builder.buildPartial());
          } catch (com.google.protobuf.UninitializedMessageException e) {
            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
          } catch (java.io.IOException e) {
            throw new com.google.protobuf.InvalidProtocolBufferException(e)
                .setUnfinishedMessage(builder.buildPartial());
          }
          return builder.buildPartial();
        }
<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