public java.util.List<com.google.protobuf.Value> getInputBaselinesList() {
        if (inputBaselinesBuilder_ == null) {
          return java.util.Collections.unmodifiableList(inputBaselines_);
        } else {
          return inputBaselinesBuilder_.getMessageList();
        }
      }
<pre>
Baseline inputs for this feature.

If no baseline is specified, Vertex AI chooses the baseline for this
feature. If multiple baselines are specified, Vertex AI returns the
average attributions across them in
[Attribution.feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions].

For Vertex AI-provided Tensorflow images (both 1.x and 2.x), the shape
of each baseline must match the shape of the input tensor. If a scalar is
provided, we broadcast to the same shape as the input tensor.

For custom images, the element of the baselines must be in the same
format as the feature's input in the
[instance][google.cloud.aiplatform.v1.ExplainRequest.instances][]. The
schema of any single instance may be specified via Endpoint's
DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
[PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
[instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
</pre>

<code>repeated .google.protobuf.Value input_baselines = 1;</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/ExplanationMetadata.java