Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/8246#discussion_r39185342
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -1056,6 +988,70 @@ object DecisionTree extends Serializable with Logging
{
}
}
+ private def findSplitsBinsBySorting(
+ input: RDD[LabeledPoint],
+ metadata: DecisionTreeMetadata,
+ continuousFeatures: IndexedSeq[Int]): (Array[Array[Split]],
Array[Array[Bin]]) = {
+ def findSplits(
+ featureIndex: Int,
+ featureSamples: Iterable[Double]): (Int, (Array[Split],
Array[Bin])) = {
+ val splits = {
+ val featureSplits = findSplitsForContinuousFeature(
+ featureSamples.toArray,
+ metadata,
+ featureIndex)
+ logDebug(s"featureIndex = $featureIndex, numSplits =
${featureSplits.length}")
+
+ featureSplits.map(threshold => new Split(featureIndex, threshold,
Continuous, Nil))
+ }
+
+ val bins = {
+ val lowSplit = new DummyLowSplit(featureIndex, Continuous)
+ val highSplit = new DummyHighSplit(featureIndex, Continuous)
+ (lowSplit +: splits.toSeq :+ highSplit).sliding(2).map {
+ case Seq(lhs, right) => new Bin(lhs, right, Continuous,
Double.MinValue)
+ }.toArray
+ }
+
+ (featureIndex, (splits, bins))
+ }
+
+ val continuousSplits = input
+ .flatMap(point => continuousFeatures.map(idx => (idx,
point.features(idx))))
+ .groupByKey(numPartitions = math.min(continuousFeatures.length,
input.partitions.length))
+ .map { case (k, v) => findSplits(k, v) }
+ .collectAsMap()
+
+ val numFeatures = metadata.numFeatures
+ val (splits, bins) = Range(0, numFeatures).unzip {
+ case i if metadata.isContinuous(i) =>
+ val (split, bin) = continuousSplits(i)
+ metadata.setNumSplits(i, split.length)
--- End diff --
Can you please remove the similar call to this in
findSplitsForContinuousFeature since that will now be run on workers?
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