Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5330#discussion_r27700316
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/model/treeEnsembleModels.scala
---
@@ -143,17 +141,9 @@ class GradientBoostedTreesModel(
val broadcastWeights = sc.broadcast(treeWeights)
(1 until numIterations).map { nTree =>
- predictionAndError =
remappedData.zip(predictionAndError).mapPartitions { iter =>
- val currentTree = broadcastTrees.value(nTree)
- val currentTreeWeight = broadcastWeights.value(nTree)
- iter.map {
- case (point, (pred, error)) => {
- val newPred = pred + currentTree.predict(point.features) *
currentTreeWeight
- val newError = loss.computeError(newPred, point.label)
- (newPred, newError)
- }
- }
- }
+ predictionAndError = GradientBoostedTreesModel.updatePredictionError(
+ remappedData, predictionAndError, broadcastWeights.value(nTree),
--- End diff --
You should pass the broadcast variables themselves; don't extract the value
here since this happens before the mapPartitions().
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