Github user actuaryzhang commented on a diff in the pull request: https://github.com/apache/spark/pull/16344#discussion_r93486159 --- Diff: mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala --- @@ -303,14 +341,15 @@ object GeneralizedLinearRegression extends DefaultParamsReadable[GeneralizedLine /** Set of family and link pairs that GeneralizedLinearRegression supports. */ private[regression] lazy val supportedFamilyAndLinkPairs = Set( - Gaussian -> Identity, Gaussian -> Log, Gaussian -> Inverse, - Binomial -> Logit, Binomial -> Probit, Binomial -> CLogLog, - Poisson -> Log, Poisson -> Identity, Poisson -> Sqrt, - Gamma -> Inverse, Gamma -> Identity, Gamma -> Log + "gaussian" -> Identity, "gaussian" -> Log, "gaussian" -> Inverse, --- End diff -- @yanboliang The member object (in `GeneralizedLinearRegressionBase`) won't be accessible in `Family`, right? The method `Family.fromName($(family))` uses global objects like `Poisson`, `Gamma` etc. To use `Family.fromName`, I need to create a `Tweedie` global object. Then we are back to the issue that @srowen pointed out of setting `variancePower` of the global object. Please advise. Thanks.
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