Github user actuaryzhang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16131#discussion_r90912181
--- 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 --
@yanboliang Thanks much for clarifying and approving this.
@sethah That's exactly the issue. Using avg(y) for Binomial would be more
costly than the current approach since it takes one more pass through the data,
right?
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