Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2125#discussion_r16696018
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -65,36 +66,39 @@ class DecisionTree (private val strategy: Strategy)
extends Serializable with Lo
val retaggedInput = input.retag(classOf[LabeledPoint])
val metadata = DecisionTreeMetadata.buildMetadata(retaggedInput,
strategy)
logDebug("algo = " + strategy.algo)
+ logDebug("maxBins = " + metadata.maxBins)
// Find the splits and the corresponding bins (interval between the
splits) using a sample
// of the input data.
timer.start("findSplitsBins")
val (splits, bins) = DecisionTree.findSplitsBins(retaggedInput,
metadata)
- val numBins = bins(0).length
timer.stop("findSplitsBins")
- logDebug("numBins = " + numBins)
+ logDebug("numBins: feature: number of bins")
+ Range(0, metadata.numFeatures).foreach { featureIndex =>
+ logDebug(s"\t$featureIndex\t${metadata.numBins(featureIndex)}")
+ }
// Bin feature values (TreePoint representation).
// Cache input RDD for speedup during multiple passes.
val treeInput = TreePoint.convertToTreeRDD(retaggedInput, bins,
metadata)
.persist(StorageLevel.MEMORY_AND_DISK)
- val numFeatures = metadata.numFeatures
// depth of the decision tree
val maxDepth = strategy.maxDepth
- // the max number of nodes possible given the depth of the tree
- val maxNumNodes = (2 << maxDepth) - 1
+ // the max number of nodes possible given the depth of the tree, plus 1
+ val maxNumNodes_p1 = Node.maxNodesInLevel(maxDepth + 1)
--- End diff --
`maxNumNodes_p1` -> `maxNumNodes1` or `maxNumNodesP1`. We use camelCase for
variable names.
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