public static com.google.cloud.vertexai.api.ModelExplanation parseDelimitedFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
  }
<pre>
Output only. Aggregated attributions explaining the Model's prediction
outputs over the set of instances. The attributions are grouped by outputs.

For Models that predict only one output, such as regression Models that
predict only one score, there is only one attibution that explains the
predicted output. For Models that predict multiple outputs, such as
multiclass Models that predict multiple classes, each element explains one
specific item.
[Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
can be used to identify which output this attribution is explaining.

The
[baselineOutputValue][google.cloud.aiplatform.v1.Attribution.baseline_output_value],
[instanceOutputValue][google.cloud.aiplatform.v1.Attribution.instance_output_value]
and
[featureAttributions][google.cloud.aiplatform.v1.Attribution.feature_attributions]
fields are averaged over the test data.

NOTE: Currently AutoML tabular classification Models produce only one
attribution, which averages attributions over all the classes it predicts.
[Attribution.approximation_error][google.cloud.aiplatform.v1.Attribution.approximation_error]
is not populated.
</pre>

<code>
repeated .google.cloud.vertexai.v1.Attribution mean_attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ModelExplanation.java