[
https://issues.apache.org/jira/browse/SPARK-16710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yanbo Liang reassigned SPARK-16710:
-----------------------------------
Assignee: Yanbo Liang
> SparkR spark.glm should support weightCol
> -----------------------------------------
>
> Key: SPARK-16710
> URL: https://issues.apache.org/jira/browse/SPARK-16710
> Project: Spark
> Issue Type: Improvement
> Components: ML, SparkR
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Fix For: 2.1.0
>
>
> Training GLMs on weighted dataset is very important use cases. Users can pass
> argument {{weights}} to specify the weights vector in native R. For
> {{spark.glm}}, we can pass in the {{weightCol}} which is consistent with
> MLlib.
--
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
