Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5991#issuecomment-100055713
[Test build #32156 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/32156/consoleFull)
for PR 5991 at commit
[`bd39fd2`](https://github.com/apache/spark/commit/bd39fd2138027ea7d77da5c65da2e22274ed93bf).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `class Binarizer(JavaTransformer, HasInputCol, HasOutputCol):`
* `class IDF(JavaEstimator, HasInputCol, HasOutputCol):`
* `class IDFModel(JavaModel):`
* `class Normalizer(JavaTransformer, HasInputCol, HasOutputCol):`
* `class OneHotEncoder(JavaTransformer, HasInputCol, HasOutputCol):`
* `class PolynomialExpansion(JavaTransformer, HasInputCol, HasOutputCol):`
* `class StandardScaler(JavaEstimator, HasInputCol, HasOutputCol):`
* `class StandardScalerModel(JavaModel):`
* `class StringIndexer(JavaEstimator, HasInputCol, HasOutputCol):`
* `class StringIndexerModel(JavaModel):`
* `class Tokenizer(JavaTransformer, HasInputCol, HasOutputCol):`
* `class VectorIndexer(JavaEstimator, HasInputCol, HasOutputCol):`
* `class Word2Vec(JavaEstimator, HasStepSize, HasMaxIter, HasSeed,
HasInputCol, HasOutputCol):`
* `class Word2VecModel(JavaModel):`
* `class HasSeed(Params):`
* `class HasTol(Params):`
* `class HasStepSize(Params):`
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