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https://issues.apache.org/jira/browse/SPARK-9837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14979123#comment-14979123
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Soila Kavulya commented on SPARK-9837:
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We have an implementation of R-like summary statistics for logistic regression
in Spark which generates the Hessian matrix and computes summary statistics. We
would to generalize it for glms and contribute it back to Spark.
> 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: Sub-task
> Components: ML, MLlib
> Reporter: Xiangrui Meng
>
> This is similar to SPARK-9836 but for GLMs other than ordinary least squares.
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