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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/14 10:23:33 UTC

[jira] [Commented] (SPARK-9837) Provide R-like summary statistics for GLMs via iteratively reweighted least squares

    [ https://issues.apache.org/jira/browse/SPARK-9837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15192958#comment-15192958 ] 

Apache Spark commented on SPARK-9837:
-------------------------------------

User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/11694

> Provide R-like summary statistics for GLMs via iteratively reweighted least squares
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-9837
>                 URL: https://issues.apache.org/jira/browse/SPARK-9837
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, MLlib
>            Reporter: Xiangrui Meng
>            Assignee: Yanbo Liang
>            Priority: Critical
>
> This is similar to SPARK-9836 but for GLMs other than ordinary least squares.



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