Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6093#issuecomment-101429818
[Test build #32528 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/32528/consoleFull)
for PR 6093 at commit
[`bc6058c`](https://github.com/apache/spark/commit/bc6058c42d66a66072597b3dfa12bca35540ccfc).
* This patch **fails PySpark unit tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `case class LabeledSentence(label: Double, sentence: String)`
*
`[Tokenization](http://en.wikipedia.org/wiki/Lexical_analysis#Tokenization) is
the process of taking text (such as a sentence) and breaking it into individual
terms (usually words). A simple
[Tokenizer](api/scala/index.html#org.apache.spark.ml.feature.Tokenizer) class
provides this functionality. The example below shows how to split sentences
into sequences of words.`
* `case class LabeledSentence(label: Double, sentence: String)`
* `public class JavaHashingTFSuite `
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