Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/19525#discussion_r149532602
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/linalg/JsonMatrixConverter.scala ---
@@ -0,0 +1,79 @@
+/*
+ * 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.linalg
+
+import org.json4s.DefaultFormats
+import org.json4s.JsonDSL._
+import org.json4s.jackson.JsonMethods.{compact, parse => parseJson, render}
+
+private[ml] object JsonMatrixConverter {
+
+ /** Unique class name for identifying JSON object encoded by this class.
*/
+ val className = "org.apache.spark.ml.linalg.Matrix"
--- End diff --
Or can we just use ```type``` to identify vector and matrix? For example,
```type``` less than 10 is reserved for vector and more than 10 is for matrix.
What do you think of it?
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