@java.lang.Override
  public int hashCode() {
    if (memoizedHashCode != 0) {
      return memoizedHashCode;
    }
    int hash = 41;
    hash = (19 * hash) + getDescriptor().hashCode();
    hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
    hash = (53 * hash) + getEndpoint().hashCode();
    if (getInstancesCount() > 0) {
      hash = (37 * hash) + INSTANCES_FIELD_NUMBER;
      hash = (53 * hash) + getInstancesList().hashCode();
    }
    if (hasParameters()) {
      hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
      hash = (53 * hash) + getParameters().hashCode();
    }
    hash = (29 * hash) + getUnknownFields().hashCode();
    memoizedHashCode = hash;
    return hash;
  }
<pre>
The parameters that govern the prediction. The schema of the parameters may
be specified via Endpoint's DeployedModels' [Model's
][google.cloud.aiplatform.v1.DeployedModel.model]
[PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
[parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
</pre>

<code>.google.protobuf.Value parameters = 3;</code>
java-vertexai/proto-google-cloud-vertexai-v1/src/main/java/com/google/cloud/vertexai/api/PredictRequest.java