Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5330#discussion_r28208661
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/model/treeEnsembleModels.scala
---
@@ -131,34 +132,17 @@ class GradientBoostedTreesModel(
val numIterations = trees.length
val evaluationArray = Array.fill(numIterations)(0.0)
- var predictionAndError: RDD[(Double, Double)] = remappedData.map { i =>
- val pred = treeWeights(0) * trees(0).predict(i.features)
- val error = loss.computeError(pred, i.label)
- (pred, error)
- }
- evaluationArray(0) = predictionAndError.values.mean()
+ var predictionAndError =
GradientBoostedTreesModel.computeInitialPredictionAndError(
+ remappedData, treeWeights(0), trees(0), loss)
- // Avoid the model being copied across numIterations.
- val broadcastTrees = sc.broadcast(trees)
- val broadcastWeights = sc.broadcast(treeWeights)
+ evaluationArray(0) = predictionAndError.values.mean()
(1 until numIterations).map { nTree =>
--- End diff --
"map" --> "foreach"
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