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From "Shivaram Venkataraman (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-17241) SparkR spark.glm should have configurable regularization parameter
Date Thu, 01 Sep 2016 04:40:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Shivaram Venkataraman updated SPARK-17241:
------------------------------------------
    Assignee: Xin Ren

> SparkR spark.glm should have configurable regularization parameter
> ------------------------------------------------------------------
>
>                 Key: SPARK-17241
>                 URL: https://issues.apache.org/jira/browse/SPARK-17241
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Junyang Qian
>            Assignee: Xin Ren
>             Fix For: 2.1.0
>
>
> Spark has configurable L2 regularization parameter for generalized linear regression.
It is very important to have them in SparkR so that users can run ridge regression.



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