1 files changed, 49 insertions, 0 deletions
diff --git a/mllib/src/test/java/org/apache/spark/mllib/util/JavaMLUtilsSuite.java b/mllib/src/test/java/org/apache/spark/mllib/util/JavaMLUtilsSuite.java
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.util;
+
+import java.util.Collections;
+
+import org.junit.Assert;
+import org.junit.Test;
+
+import org.apache.spark.SharedSparkSession;
+import org.apache.spark.mllib.linalg.Vector;
+import org.apache.spark.mllib.linalg.Vectors;
+import org.apache.spark.mllib.regression.LabeledPoint;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.RowFactory;
+
+public class JavaMLUtilsSuite extends SharedSparkSession {
+
+  @Test
+  public void testConvertVectorColumnsToAndFromML() {
+    Vector x = Vectors.dense(2.0);
+    Dataset<Row> dataset = spark.createDataFrame(
+      Collections.singletonList(new LabeledPoint(1.0, x)), LabeledPoint.class
+    ).select("label", "features");
+    Dataset<Row> newDataset1 = MLUtils.convertVectorColumnsToML(dataset);
+    Row new1 = newDataset1.first();
+    Assert.assertEquals(RowFactory.create(1.0, x.asML()), new1);
+    Row new2 = MLUtils.convertVectorColumnsToML(dataset, "features").first();
+    Assert.assertEquals(new1, new2);
+    Row old1 = MLUtils.convertVectorColumnsFromML(newDataset1).first();
+    Assert.assertEquals(RowFactory.create(1.0, x), old1);
+  }
+}