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https://issues.apache.org/jira/browse/SPARK-16710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shivaram Venkataraman resolved SPARK-16710.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14346
[https://github.com/apache/spark/pull/14346]
> 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
> 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.
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