Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13584#discussion_r77272532
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/RWrapperUtils.scala ---
@@ -0,0 +1,71 @@
+/*
+ * 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.r
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.ml.feature.RFormula
+import org.apache.spark.sql.Dataset
+
+object RWrapperUtils extends Logging {
+
+ /**
+ * DataFrame column check.
+ * When loading data, default columns "features" and "label" will be
added. And these two names
+ * would conflict with RFormula default feature and label column names.
+ * Here is to change the column name to avoid "column already exists"
error.
+ *
+ * @param rFormula RFormula instance
+ * @param data Input dataset
+ * @return Unit
+ */
+ def checkDataColumns(rFormula: RFormula, data: Dataset[_]): Unit = {
+ if (data.schema.fieldNames.contains(rFormula.getLabelCol)) {
+ val newLabelName = convertToUniqueName(rFormula.getLabelCol,
data.schema.fieldNames)
+ logWarning(
+ s"data containing ${rFormula.getLabelCol} column, using new name
$newLabelName instead")
+ rFormula.setLabelCol(newLabelName)
+ }
+
+ if (data.schema.fieldNames.contains(rFormula.getFeaturesCol)) {
+ val newFeaturesName = convertToUniqueName(rFormula.getFeaturesCol,
data.schema.fieldNames)
+ logWarning(
+ s"data containing ${rFormula.getFeaturesCol} column, using new
name $newFeaturesName")
--- End diff --
let's make this consistent with the message above in L40?
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