[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
