Github user felixcheung commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13584#discussion_r76940615
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/r/RWrapperUtils.scala ---
    @@ -0,0 +1,47 @@
    +/*
    + * 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)) {
    +      logWarning("data containing 'label' column, so change its name to 
avoid conflict")
    +      rFormula.setLabelCol(rFormula.getLabelCol + "_output")
    --- End diff --
    
    what if `something_output` is also already in the DataFrame?
    should we check for it?
    I thought the earlier discussion calls for appending a sequence number, 
like `something_output1` and incrementing util it is not already there?


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