Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6181#discussion_r30457650
--- Diff:
mllib/src/test/java/org/apache/spark/ml/feature/JavaWord2VecSuite.java ---
@@ -0,0 +1,66 @@
+package org.apache.spark.ml.feature;
+
+import com.google.common.collect.Lists;
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.linalg.Vector;
+import org.apache.spark.mllib.linalg.VectorUDT;
+import org.apache.spark.mllib.linalg.Vectors;
+import org.apache.spark.sql.DataFrame;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.RowFactory;
+import org.apache.spark.sql.SQLContext;
+import org.apache.spark.sql.types.*;
+
+public class JavaWord2VecSuite {
+ private transient JavaSparkContext jsc;
+ private transient SQLContext sqlContext;
+
+ @Before
+ public void setUp() {
+ jsc = new JavaSparkContext("local", "JavaWord2VecSuite");
+ sqlContext = new SQLContext(jsc);
+ }
+
+ @After
+ public void tearDown() {
+ jsc.stop();
+ jsc = null;
+ }
+
+ @Test
+ public void testJavaWord2Vec() {
+ JavaRDD<Row> jrdd = jsc.parallelize(Lists.newArrayList(
+ RowFactory.create(Lists.newArrayList("Hi I heard about
Spark".split(" ")),
+ Vectors.dense(0.017877750098705292, -0.018388677015900613,
-0.01183266043663025)),
+ RowFactory.create(Lists.newArrayList("I wish Java could use case
classes".split(" ")),
+ Vectors.dense(0.0038498884865215844, -0.07299017374004636,
0.010990704176947474)),
+ RowFactory.create(Lists.newArrayList("Logistic regression models are
neat".split(" ")),
+ Vectors.dense(0.017819208838045598, -0.006920230574905872,
0.022744188457727434))
+ ));
+ StructType schema = new StructType(new StructField[]{
+ new StructField("text", new ArrayType(StringType$.MODULE$, true),
false, Metadata.empty()),
--- End diff --
Use ```DataTypes.StringType()``` instead of ```StringType$.MODULE$```
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