Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8369#issuecomment-133595820
[Test build #41395 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41395/console)
for PR 8369 at commit
[`42f4f2a`](https://github.com/apache/spark/commit/42f4f2ac0f1cf02d9600156b45cfd05c18e72e39).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `* a bit more functionality for random forests: estimates of feature
importance, as well as the predicted probability of each class (a.k.a. class
conditional probabilities) for classification.`
*
`[OneVsRest](http://en.wikipedia.org/wiki/Multiclass_classification#One-vs.-rest)
is an example of a machine learning reduction for performing multiclass
classification given a base classifier that can perform binary classification
efficiently. It is also known as "One-vs-All."`
* `public class JavaVectorSlicerSuite `
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