Github user badriub commented on a diff in the pull request:
https://github.com/apache/spark/pull/7652#discussion_r36916725
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -127,10 +128,16 @@ final class OneVsRestModel private[ml] (
predictions.maxBy(_._2)._1.toDouble
}
+ // output the index of the classifier with highest confidence as
prediction
+ val probabilityUDF = udf { (predictions: Map[Int, Double]) =>
--- End diff --
Sorry for the delayed response. I've made some small changes as per your
recommendations. WRT this point, I'm not sure I follow. As far as I understand,
I need to return the highest confidence factor(which will be Double)
corresponding to the model used with OVR.
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