GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/15365
[SPARK-17157][SPARKR]: Add multiclass logistic regression SparkR Wrapper
## What changes were proposed in this pull request?
As we discussed in #14818, I added a separate R wrapper spark.logit for
logistic regression.
This single interface supports both binary and multinomial logistic
regression. It also has "predict" and "summary" for binary logistic regression.
## How was this patch tested?
New unit tests are added.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wangmiao1981/spark glm
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15365.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 #15365
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commit 7f3d40d090604e1edeadfe7e747869290be61c2f
Author: [email protected] <[email protected]>
Date: 2016-10-05T00:23:18Z
add spark.logit
commit 5bfd1320000791bed933b10dc3af8f0857d6be99
Author: [email protected] <[email protected]>
Date: 2016-10-05T23:36:54Z
add unit tests
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