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Subject [GitHub] [spark] mengxr commented on a change in pull request #26910: [SPARK-30154][ML] PySpark UDF to convert MLlib vectors to dense arrays
Date Tue, 17 Dec 2019 17:12:43 GMT
mengxr commented on a change in pull request #26910: [SPARK-30154][ML] PySpark UDF to convert
MLlib vectors to dense arrays
URL: https://github.com/apache/spark/pull/26910#discussion_r358914825
 
 

 ##########
 File path: mllib/src/test/scala/org/apache/spark/ml/FunctionsSuite.scala
 ##########
 @@ -0,0 +1,45 @@
+/*
+ * 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.ml
+
+import org.apache.spark.ml.functions.vector_to_array
+import org.apache.spark.ml.linalg.Vectors
+import org.apache.spark.ml.util.MLTest
+import org.apache.spark.mllib.linalg.{Vectors => OldVectors}
+
+class FunctionsSuite extends MLTest {
+
+  import testImplicits._
+
+  test("test vector_to_array") {
+    val df1 = Seq(
 
 Review comment:
   nit: `df1` -> `df`

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