GitHub user keypointt opened a pull request:
https://github.com/apache/spark/pull/14856
[SPARK-17241][SparkR][MLlib] SparkR spark.glm should have configurable
regularization parameter
https://issues.apache.org/jira/browse/SPARK-17241
## What changes were proposed in this pull request?
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.
## How was this patch tested?
Test manually on local laptop.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/keypointt/spark SPARK-17241
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14856.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 #14856
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commit 6417049e9185434bc23c651217d73a88abe4f606
Author: Xin Ren <[email protected]>
Date: 2016-08-28T23:01:37Z
[SPARK-17241] add configurable regularization parameter
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