Github user dbtsai commented on a diff in the pull request:
https://github.com/apache/spark/pull/7884#discussion_r38590661
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -803,13 +829,17 @@ private class LogisticAggregator(
this
}
- def count: Long = totalCnt
-
- def loss: Double = lossSum / totalCnt
+ def loss: Double = {
+ require(weightSum >= 1.0, s"The effective number of samples should be
" +
--- End diff --
When computing the variance, there is no definition of variance when 0.0 <
# of sample < 1.0
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