Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/4906#discussion_r26179903
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/model/treeEnsembleModels.scala
---
@@ -108,6 +110,53 @@ class GradientBoostedTreesModel(
}
override protected def formatVersion: String =
TreeEnsembleModel.SaveLoadV1_0.thisFormatVersion
+
+ /**
+ * Method to compute error or loss for every iteration of gradient
boosting.
+ * @param data: RDD of [[org.apache.spark.mllib.regression.LabeledPoint]]
+ * @param loss: evaluation metric.
+ * @return an array with index i having the losses or errors for the
ensemble
+ * containing trees 1 to i + 1
+ */
+ def evaluateEachIteration(
+ data: RDD[LabeledPoint],
+ loss: Loss) : Array[Double] = {
+
+ val sc = data.sparkContext
+ val remappedData = algo match {
+ case Classification => data.map(x => new LabeledPoint((x.label * 2)
- 1, x.features))
+ case _ => data
+ }
+ val initialTree = trees(0)
+ val numIterations = trees.length
+ val evaluationArray = Array.fill(numIterations)(0.0)
+
+ // Initial weight is 1.0
--- End diff --
may as well use initial weight explicitly in case that changes for some
reason in the future
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