GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/15842
[SPARK-18401][SPARKR][ML] SparkR random forest should support output
original label.
## What changes were proposed in this pull request?
SparkR ```spark.randomForest``` classification prediction should output
original label rather than the indexed label. This issue is very similar with
[SPARK-18291](https://issues.apache.org/jira/browse/SPARK-18291).
## 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-18401
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15842.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 #15842
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commit 61f25b50d975411b2b9a07f38d831b5c2b5bd8e4
Author: Yanbo Liang <yblia...@gmail.com>
Date: 2016-11-10T15:21:55Z
SparkR random forest should support output original label.
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