[jira] [Commented] (SPARK-2311) Added additional GLMs (Poisson and Gamma) into MLlib

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14349192#comment-14349192 ] 

Sean Owen commented on SPARK-2311:
----------------------------------

I think this one may be obsolete as a suggested change to MLlib, but, may be valid to target for the new API?
But is there any interest in exploring that on your end?

> Added additional GLMs (Poisson and Gamma) into MLlib
> ----------------------------------------------------
>
>                 Key: SPARK-2311
>                 URL: https://issues.apache.org/jira/browse/SPARK-2311
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Xiaokai Wei
>
> Though GeneralizedLinearModel in MLlib 1.0.0 has some important GLMs such as Logistic Regression, Linear Regression, some other important GLMs like Poisson Regression are still missing. 
> Poisson Regression and Gamma Regression are two widely used models in industry with many applications. This patch added Poisson and Gamma Regression as additional GeneralizedLinearModels.
> https://github.com/apache/spark/pull/1237



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