public Builder mergeFrom(com.google.cloud.vertexai.api.ModelExplanation other) {
      if (other == com.google.cloud.vertexai.api.ModelExplanation.getDefaultInstance()) return this;
      if (meanAttributionsBuilder_ == null) {
        if (!other.meanAttributions_.isEmpty()) {
          if (meanAttributions_.isEmpty()) {
            meanAttributions_ = other.meanAttributions_;
            bitField0_ = (bitField0_ & ~0x00000001);
          } else {
            ensureMeanAttributionsIsMutable();
            meanAttributions_.addAll(other.meanAttributions_);
          }
          onChanged();
        }
      } else {
        if (!other.meanAttributions_.isEmpty()) {
          if (meanAttributionsBuilder_.isEmpty()) {
            meanAttributionsBuilder_.dispose();
            meanAttributionsBuilder_ = null;
            meanAttributions_ = other.meanAttributions_;
            bitField0_ = (bitField0_ & ~0x00000001);
            meanAttributionsBuilder_ =
                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
                    ? getMeanAttributionsFieldBuilder()
                    : null;
          } else {
            meanAttributionsBuilder_.addAllMessages(other.meanAttributions_);
          }
        }
      }
      this.mergeUnknownFields(other.getUnknownFields());
      onChanged();
      return this;
    }
<pre>
Aggregated explanation metrics for a Model over a set of instances.
</pre>

Protobuf type {@code google.cloud.vertexai.v1.ModelExplanation}
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ModelExplanation.java