imatiach-msft commented on a change in pull request #17085:
[SPARK-24102][ML][MLLIB] ML Evaluators should use weight column - added weight
column for regression evaluator
URL: https://github.com/apache/spark/pull/17085#discussion_r240690346
##########
File path:
mllib/src/main/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizer.scala
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@@ -52,7 +52,7 @@ class MultivariateOnlineSummarizer extends
MultivariateStatisticalSummary with S
private var totalCnt: Long = 0
private var totalWeightSum: Double = 0.0
private var weightSquareSum: Double = 0.0
- private var weightSum: Array[Double] = _
+ private var currWeightSum: Array[Double] = _
Review comment:
Nevermind, it looks like the build failed because the private variable
conflicts with the public function that was defined:
/**
* Sum of weights.
*/
override def weightSum: Double = totalWeightSum
I think this may be the best name for the public variable so I would prefer
to keep it. The private variable now follows the naming convention of the
other private array variables so I think this makes sense.
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