Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/8112#discussion_r40274444
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -80,7 +96,18 @@ class CrossValidator(override val uid: String) extends
Estimator[CrossValidatorM
val epm = $(estimatorParamMaps)
val numModels = epm.length
val metrics = new Array[Double](epm.length)
- val splits = MLUtils.kFold(dataset.rdd, $(numFolds), 0)
+ val splits = if (schema.fieldNames.contains($(stratifiedCol))) {
--- End diff --
I would check `isSet(stratifiedCol)` here to make sure the user set the
stratified column, just in case a column in the dataset was actually named
"None".
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