Github user smurakozi commented on a diff in the pull request:
https://github.com/apache/spark/pull/20319#discussion_r162460705
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/Encoders.scala ---
@@ -0,0 +1,25 @@
+/*
+ * 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.clustering
+
+import org.apache.spark.ml.linalg.Vector
+import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
+
+private[clustering] object Encoders {
+ implicit val vectorEncoder = ExpressionEncoder[Vector]()
--- End diff --
Is there a better solution to provide an implicit Vector encoder for
testTransformer?
Is it ok here, or is there a better place for it?
e.g. `org.apache.spark.mllib.util.MLlibTestSparkContext.testImplicits`
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