Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/9302#discussion_r43703873
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/RFormula.scala
---
@@ -200,6 +200,13 @@ class RFormulaModel private[feature](
dataset.schema(labelName).dataType match {
case _: NumericType | BooleanType =>
dataset.withColumn($(labelCol),
dataset(labelName).cast(DoubleType))
+ case _: StringType => {
+ val indexer = new StringIndexer()
--- End diff --
This should not happen inside `transform`. we cannot afford one `fit` call
per `transform`. We should inside the label indexer into the
`RFormula.fit`instead of `RFormulaModel.transform`.
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