Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/17894#discussion_r115423264
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -1722,25 +1723,22 @@ private class LogisticAggregator(
var maxMargin = Double.NegativeInfinity
val margins = new Array[Double](numClasses)
+ val featureStdArray = new Array[Double](features.size)
--- End diff --
In my company, we have use-case of handing very sparse input with around 20
non-zero features with millions of total feature space. This implementation
will break in this scenario.
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