Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6296#issuecomment-104067977
[Test build #33176 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/33176/consoleFull)
for PR 6296 at commit
[`bb9dbfa`](https://github.com/apache/spark/commit/bb9dbfab77fd34a9dce213ab94672a9616895702).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
*
`[`OneVsRest`](api/scala/index.html#org.apache.spark.ml.classifier.OneVsRest)
is an example of a machine learning reduction for performing multiclass
classification given a base classifier that can perform binary classification
efficiently.`
* ``OneVsRest` is an `Estimator` takes as base classifier instances of
[`Classifier`](api/scala/index.html#org.apache.spark.ml.classification.Classifier)
and creates a binary classification problem for each of the k classes. The
classifier for class i is trained to predict whether the label is i or not,
distinguishing class i from all other classes.`
* `[LIBSVM data
file](http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/), parse it as an
RDD of `LabeledPoint` and perform multiclass classification using `OneVsRest`.
The test error is calculated to measure the algorithm accuracy.`
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