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| author | wm624@hotmail.com <wm624@hotmail.com> | 2016-10-26 16:12:55 -0700 |
|---|---|---|
| committer | Felix Cheung <felixcheung@apache.org> | 2016-10-26 16:12:55 -0700 |
| commit | 29cea8f332aa3750f8ff7c3b9e705d107278da4b (patch) | |
| tree | e1a0d66e0e5a50cb5cdf5d6c1cdd7357c30c9409 /sql | |
| parent | 5b7d403c1819c32a6a5b87d470f8de1a8ad7a987 (diff) | |
| download | spark-29cea8f332aa3750f8ff7c3b9e705d107278da4b.tar.gz spark-29cea8f332aa3750f8ff7c3b9e705d107278da4b.tar.bz2 spark-29cea8f332aa3750f8ff7c3b9e705d107278da4b.zip | |
[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.
Author: wm624@hotmail.com <wm624@hotmail.com>
Closes #15365 from wangmiao1981/glm.
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