Github user facaiy commented on a diff in the pull request:
https://github.com/apache/spark/pull/18554#discussion_r126863072
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -317,7 +318,12 @@ final class OneVsRest @Since("1.4.0") (
val numClasses =
MetadataUtils.getNumClasses(labelSchema).fold(computeNumClasses())(identity)
instr.logNumClasses(numClasses)
- val multiclassLabeled = dataset.select($(labelCol), $(featuresCol))
+ val multiclassLabeled = getClassifier match {
+ // SPARK-21306: cache weightCol if necessary
+ case c: HasWeightCol if c.isDefined(c.weightCol) &&
c.getWeightCol.nonEmpty =>
+ dataset.select($(labelCol), $(featuresCol), c.getWeightCol)
+ case _ => dataset.select($(labelCol), $(featuresCol))
+ }
--- End diff --
Hi, @yanboliang . As @MLnick said, no all classifiers inherits
HasWeightCol, so it might cause confusion.
In my opinion, `setWeightCol` is an attribute owned by one specific
classifier, like `setProbabilityCol` and `setRawPredictionCol` for Logistic
Regreesion. So I'd suggest that user should configure the classifier itself,
rather than OneVsRest. Is it OK?
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