GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/16117
[SPARK-18686][SparkR][ML] Several cleanup and improvements for spark.logit.
## What changes were proposed in this pull request?
Several cleanup and improvements for ```spark.logit```:
* ```summary``` should return coefficients matrix, and should output labels
for each class if the model is multinomial logistic regression model.
* ```summary``` should not return ```areaUnderROC, roc, pr, ...```, since
most of them are DataFrame which are less important for R users. Meanwhile,
these metrics ignore instance weights (setting all to 1.0) which will be
changed in later Spark version. In case it will introduce breaking changes, we
do not expose them currently.
* SparkR test improvement: comparing the training result with native R
glmnet.
* Remove argument ```aggregationDepth``` from ```spark.logit```, since it's
an expert Param(related with Spark architecture and job execution) that would
be used rarely by R users.
## How was this patch tested?
Unit tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-18686
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16117.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 #16117
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commit e78adcd4a5685bbf292a864e77dc1b345854e047
Author: Yanbo Liang <yblia...@gmail.com>
Date: 2016-12-02T08:16:18Z
Several cleanup and improvements for spark.logit.
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