Github user sethah commented on a diff in the pull request: https://github.com/apache/spark/pull/16441#discussion_r94868112 --- Diff: mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala --- @@ -248,12 +269,38 @@ class GBTClassificationModel private[ml]( if (prediction > 0.0) 1.0 else 0.0 } + override protected def predictRaw(features: Vector): Vector = { --- End diff -- In logistic regression we had previously overridden some of the methods in probabilistic classifier since we were only dealing with two classes, which makes those methods a bit faster (hard to say how much). We can do it here for now, but I'd be slightly in favor of _not_ doing it since I'm not sure how much we gain from it and it makes the code harder to follow. Thoughts?
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