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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/08/28 23:05:21 UTC

[jira] [Assigned] (SPARK-17241) SparkR spark.glm should have configurable regularization parameter

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

Apache Spark reassigned SPARK-17241:
------------------------------------

    Assignee: Apache Spark

> 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: Apache Spark
>
> 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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