Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11791#issuecomment-200534807
**[Test build #53957 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/53957/consoleFull)**
for PR 11791 at commit
[`768a8d9`](https://github.com/apache/spark/commit/768a8d95ef394553ced64c1fad683127e54e699b).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `class LogisticRegressionModel(JavaModel, JavaMLWritable,
JavaMLReadable):`
* `class NaiveBayesModel(JavaModel, JavaMLWritable, JavaMLReadable):`
* `class KMeansModel(JavaModel, JavaMLWritable, JavaMLReadable):`
* `class Binarizer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class Bucketizer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class CountVectorizer(JavaEstimator, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class CountVectorizerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class DCT(JavaTransformer, HasInputCol, HasOutputCol, JavaMLReadable,
JavaMLWritable):`
* `class ElementwiseProduct(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable,`
* `class HashingTF(JavaTransformer, HasInputCol, HasOutputCol,
HasNumFeatures, JavaMLReadable,`
* `class IDF(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable,
JavaMLWritable):`
* `class IDFModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class MaxAbsScaler(JavaEstimator, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class MaxAbsScalerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class MinMaxScaler(JavaEstimator, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class MinMaxScalerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class NGram(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class Normalizer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class OneHotEncoder(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class PolynomialExpansion(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable,`
* `class QuantileDiscretizer(JavaEstimator, HasInputCol, HasOutputCol,
HasSeed, JavaMLReadable,`
* `class RegexTokenizer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class SQLTransformer(JavaTransformer, JavaMLReadable, JavaMLWritable):`
* `class StandardScaler(JavaEstimator, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class StandardScalerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class StringIndexer(JavaEstimator, HasInputCol, HasOutputCol,
HasHandleInvalid, JavaMLReadable,`
* `class StringIndexerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class IndexToString(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class StopWordsRemover(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class Tokenizer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class VectorAssembler(JavaTransformer, HasInputCols, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class VectorIndexer(JavaEstimator, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class VectorIndexerModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class VectorSlicer(JavaTransformer, HasInputCol, HasOutputCol,
JavaMLReadable, JavaMLWritable):`
* `class Word2VecModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class PCA(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable,
JavaMLWritable):`
* `class PCAModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class RFormula(JavaEstimator, HasFeaturesCol, HasLabelCol,
JavaMLReadable, JavaMLWritable):`
* `class RFormulaModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class ChiSqSelector(JavaEstimator, HasFeaturesCol, HasOutputCol,
HasLabelCol, JavaMLReadable,`
* `class ChiSqSelectorModel(JavaModel, JavaMLReadable, JavaMLWritable):`
* `class PipelineMLWriter(JavaMLWriter):`
* `class Pipeline(Estimator, MLReadable, MLWritable):`
* `class PipelineModelMLWriter(JavaMLWriter):`
* `class PipelineModel(Model, MLReadable, MLWritable):`
* `class ALSModel(JavaModel, JavaMLWritable, JavaMLReadable):`
* `class LinearRegressionModel(JavaModel, JavaMLWritable,
JavaMLReadable):`
* `class IsotonicRegressionModel(JavaModel, JavaMLWritable,
JavaMLReadable):`
* `class AFTSurvivalRegressionModel(JavaModel, JavaMLWritable,
JavaMLReadable):`
* `class MLWriter(object):`
* `class JavaMLWriter(MLWriter):`
* `class JavaMLWritable(MLWritable):`
* `class MLReader(object):`
* `class JavaMLReader(MLReader):`
* `class JavaMLReadable(MLReadable):`
* ` implicit class StringToColumn(val sc: StringContext) `
* `class RecordReaderIterator[T](rowReader: RecordReader[_, T]) extends
Iterator[T] `
* ` // the type in next() and we get a class cast exception. If
we make that function return`
* `class HDFSMetadataLog[T: ClassTag](sqlContext: SQLContext, path:
String)`
* `class StreamProgress(`
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