GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/14346
[SPARK-16710] [SparkR] [ML] spark.glm should support weightCol
## What changes were proposed in this pull request?
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.
## How was this patch tested?
Unit test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-16710
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14346.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14346
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commit 4e92737959182724a5b37a6afc3d641d13a8586d
Author: Yanbo Liang <[email protected]>
Date: 2016-07-25T13:33:49Z
spark.glm should support weightCol
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