Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17969#discussion_r116393810
--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# 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.
+#
+
+#' S4 class that represents a Java ML model
+#'
+#' @param jobj a Java object reference to the backing Scala model
+#' @export
+#' @note JavaModel since 2.3.0
+setClass("JavaModel", representation(jobj = "jobj"))
+
+#' Makes predictions from a Java ML model
+#'
+#' @param object a Spark ML model.
+#' @param newData a SparkDataFrame for testing.
+#' @return \code{predict} returns a SparkDataFrame containing predicted
value.
+#' @rdname spark.predict
+#' @aliases predict,JavaModel-method
--- End diff --
I believe there is no conflict here. If you find this useful you can use
templates to include additional information about generic operations. Very
simple example
https://github.com/zero323/spark/commit/64a3e854792181e159d39b9e747170b707f2711d
which would create section like this:
This can be further parametrized if needed.
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