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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