GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/15930
[][][] Fix spark.glm throws errors when fitting on collinear data
## What changes were proposed in this pull request?
* Fix spark.glm throws errors when fitting on collinear data, since
standard error of coefficients, t value and p value are not available in this
condition.
* GLM summary should throw exception if users want to get standard error of
coefficients, t value and p value, but actually they are not existing due to
the underlying WLS was solved by local "l-bfgs".
## How was this patch tested?
Add unit tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-18501
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15930.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 #15930
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commit 187af1423f3c9bf058b0d1347ad7774fd91f9241
Author: Yanbo Liang <yblia...@gmail.com>
Date: 2016-11-18T08:49:59Z
GLM Summary should throw exception if the underlying WLS was solved by
local l-bfgs.
commit 1fabd8907e168f0c8e3c9299dd234a64f843acce
Author: Yanbo Liang <yblia...@gmail.com>
Date: 2016-11-18T09:15:14Z
Cut too long line.
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