Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6116#issuecomment-102244053
[Test build #32754 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/32754/consoleFull)
for PR 6116 at commit
[`40cb677`](https://github.com/apache/spark/commit/40cb677d7e7deadc259c9cad0a4298f9d4df296e).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `A simple
[Binarizer](api/scala/index.html#org.apache.spark.ml.feature.Binarizer) class
provides this functionality. Besides the common parameters of `inputCol` and
`outputCol`, `Binarizer` has the parameter `threshold` used for binarizing
continuous numerical features. The features greater than the threshold, will be
binarized to 1.0. The features equal to or less than the threshold, will be
binarized to 0.0. The example below shows how to binarize numerical features.`
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