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https://issues.apache.org/jira/browse/SPARK-18166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15619152#comment-15619152
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Apache Spark commented on SPARK-18166:
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User 'actuaryzhang' has created a pull request for this issue:
https://github.com/apache/spark/pull/15683
> GeneralizedLinearRegression Wrong Value Range for Poisson Distribution
> ------------------------------------------------------------------------
>
> Key: SPARK-18166
> URL: https://issues.apache.org/jira/browse/SPARK-18166
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.0.0
> Reporter: Wayne Zhang
> Original Estimate: 10m
> Remaining Estimate: 10m
>
> The current implementation of Poisson GLM seems to allow only positive values
> (See below). This is not correct since the support of Poisson includes the
> origin.
> override def initialize(y: Double, weight: Double): Double = {
> require(y {color:red} > {color} 0.0, "The response variable of Poisson
> family " +
> s"should be positive, but got $y")
> y
> }
> The fix is easy, just change it to
> require(y {color:red} >= {color} 0.0, "The response variable of Poisson
> family " +
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