Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/7029#issuecomment-116740148
[Test build #35996 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/35996/console)
for PR 7029 at commit
[`ef96916`](https://github.com/apache/spark/commit/ef96916254bd1f1f3eacbed98dbfe383dd1338e5).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
*
`[`ChiSqSelector`](api/scala/index.html#org.apache.spark.mllib.feature.ChiSqSelector)
stands for Chi-Squared feature selection. It operates on labeled data with
categorical features. `ChiSqSelector` orders features based on a Chi-Squared
test of independence from the class, and then filters (selects) the top
features which the class label depends on the most. This is akin to yielding
the features with the most predictive power.`
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