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Posted to issues@spark.apache.org by "Shivaram Venkataraman (JIRA)" <ji...@apache.org> on 2016/08/25 19:58:20 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=15437536#comment-15437536 ]
Shivaram Venkataraman commented on SPARK-17241:
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+1 - This would be good to have.
Also on a related note is it hard to get elasticnet working in spark.glm ? We can create a new JIRA for it if all we need is a new wrapper.
> 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
>
> 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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