[ https://issues.apache.org/jira/browse/SPARK-17241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman updated SPARK-17241:
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Assignee: Xin Ren
> SparkR spark.glm should have configurable regularization parameter
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>
> 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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