code: public static void validatePMMLVsSchema(PMML pmml, InputSchema schema) {
      List<Model> models = pmml.getModels();
      Preconditions.checkArgument(models.size() == 1,
          "Should have exactly one model, but had %s", models.size());
  
      Model model = models.get(0);
      Preconditions.checkArgument(model instanceof ClusteringModel);
      Preconditions.checkArgument(model.getMiningFunction() == MiningFunction.CLUSTERING);
  
      DataDictionary dictionary = pmml.getDataDictionary();
      Preconditions.checkArgument(
          schema.getFeatureNames().equals(AppPMMLUtils.getFeatureNames(dictionary)),
          "Feature names in schema don't match names in PMML");
  
      MiningSchema miningSchema = model.getMiningSchema();
      Preconditions.checkArgument(schema.getFeatureNames().equals(
          AppPMMLUtils.getFeatureNames(miningSchema)));
  
    }
docs: Validates that the encoded PMML model received matches expected schema.
  
  @param pmml {@link PMML} encoding of KMeans Clustering
  @param schema expected schema attributes of KMeans Clustering