Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16344#discussion_r93291042
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -592,6 +629,59 @@ object GeneralizedLinearRegression extends
DefaultParamsReadable[GeneralizedLine
}
/**
+ * Tweedie exponential family distribution.
+ * The default link for the Tweedie family is the log link.
+ */
+ private[regression] object Tweedie extends Family("tweedie") {
+
+ val defaultLink: Link = Log
+
+ var variancePower: Double = 1.5
--- End diff --
I think the Tweedie implementation needs to be able to access parameters of
the GLM, to read off variancePower.
As it is this is a global variable and two jobs would overwrite each
others' values.
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