Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16722#discussion_r101448626
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/DecisionTreeMetadata.scala
---
@@ -115,7 +122,10 @@ private[spark] object DecisionTreeMetadata extends
Logging {
}
require(numFeatures > 0, s"DecisionTree requires number of features >
0, " +
s"but was given an empty features vector")
- val numExamples = input.count()
+ val (numExamples, weightSum) = input.aggregate((0L, 0.0))(
--- End diff --
No, I haven't. I think it's very low risk, as you say.
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