Github user actuaryzhang commented on a diff in the pull request: https://github.com/apache/spark/pull/16131#discussion_r90965352 --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala --- @@ -505,7 +505,7 @@ object GeneralizedLinearRegression extends DefaultParamsReadable[GeneralizedLine override def initialize(y: Double, weight: Double): Double = { require(y >= 0.0, "The response variable of Poisson family " + s"should be non-negative, but got $y") - y + y + 0.1 --- End diff -- @srowen I verified that the following approaches give the same results for a few data sets a)`y + 0.1` b) `if (y == 0) y + 0.1 else y` c)` math.max(0.1, y)` Which one do you want to use, c)?
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