Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/2341#discussion_r17509172
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -87,17 +87,11 @@ class DecisionTree (private val strategy: Strategy)
extends Serializable with Lo
val maxDepth = strategy.maxDepth
require(maxDepth <= 30,
s"DecisionTree currently only supports maxDepth <= 30, but was given
maxDepth = $maxDepth.")
- // Number of nodes to allocate: max number of nodes possible given the
depth of the tree, plus 1
- val maxNumNodesPlus1 = Node.startIndexInLevel(maxDepth + 1)
- // Initialize an array to hold parent impurity calculations for each
node.
- val parentImpurities = new Array[Double](maxNumNodesPlus1)
- // dummy value for top node (updated during first split calculation)
- val nodes = new Array[Node](maxNumNodesPlus1)
// Calculate level for single group construction
// Max memory usage for aggregates
- val maxMemoryUsage = strategy.maxMemoryInMB * 1024 * 1024
+ val maxMemoryUsage = strategy.maxMemoryInMB * 1024L * 1024L
--- End diff --
I'll go for 10GB since 1GB memory is not that large.
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