Added support for the 'H2OEstimator.pmml_classes_' attribute

Author: vruusmann

pmml-sklearn-h2o/src/main/java/h2o/estimators/H2OEstimator.java

@@ -51,8 +51,10 @@
 import org.jpmml.python.ClassDictUtil;
 import org.jpmml.sklearn.Encodable;
 import org.jpmml.sklearn.SkLearnEncoder;
+import sklearn.Classifier;
 import sklearn.Estimator;
 import sklearn.HasClasses;
+import sklearn2pmml.SkLearn2PMMLFields;
 
 public class H2OEstimator extends Estimator implements HasClasses, Encodable {
 
@@ -107,6 +109,12 @@ public int getNumberOfOutputs(){
 	public List<?> getClasses(){
 		MojoModel mojoModel = getMojoModel();
 
+		if(containsKey(SkLearn2PMMLFields.PMML_CLASSES)){
+			List<?> values = getListLike(SkLearn2PMMLFields.PMML_CLASSES);
+
+			return Classifier.canonicalizeValues(values);
+		}
+
 		int responseIdx = mojoModel.getResponseIdx();
 
 		String[] responseValues = mojoModel.getDomainValues(responseIdx);

pmml-sklearn-h2o/src/test/java/org/jpmml/sklearn/h2o/testing/SkLearnH2OTest.java

@@ -106,6 +106,11 @@ public void evaluateGradientBoostingAuto() throws Exception {
 		evaluate("H2OGradientBoosting", AUTO);
 	}
 
+	@Test
+	public void evaluateLinearRegressionAuto() throws Exception {
+		evaluate("H2OLinearRegression", AUTO);
+	}
+
 	@Test
 	public void evaluateLogisticRegressionAudit() throws Exception {
 		String[] targetFields = createTargetFields(AUDIT_ADJUSTED);
@@ -114,8 +119,8 @@ public void evaluateLogisticRegressionAudit() throws Exception {
 	}
 
 	@Test
-	public void evaluateLinearRegressionAuto() throws Exception {
-		evaluate("H2OLinearRegression", AUTO);
+	public void evaluateOrdinalRegressionAuto() throws Exception {
+		evaluate("H2OOrdinalRegression", AUTO);
 	}
 
 	@Test