Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/11632#issuecomment-201127188
**[Test build #54134 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/54134/consoleFull)**
for PR 11632 at commit
[`249526b`](https://github.com/apache/spark/commit/249526b8ce54578e6f092512a473477ba8c8d67a).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `public class JavaChiSqSelectorExample `
* `public class JavaCorrelationsExample `
* `public class JavaElementwiseProductExample `
* `public class JavaHypothesisTestingExample `
* `public class JavaHypothesisTestingKolmogorovSmirnovTestExample `
* `public class JavaKernelDensityEstimationExample `
* `public class JavaStratifiedSamplingExample `
* `public class JavaSummaryStatisticsExample `
* ` class MultilayerPerceptronClassificationModelWriter(`
* `class TypeConverters(object):`
* ` probabilityCol = Param(Params._dummy(), \"probabilityCol\",
\"Column name for predicted class conditional probabilities. Note: Not all
models output well-calibrated probability estimates! These probabilities should
be treated as confidences, not precise probabilities.\",
typeConverter=TypeConverters.toString)`
* ` thresholds = Param(Params._dummy(), \"thresholds\", \"Thresholds
in multi-class classification to adjust the probability of predicting each
class. Array must have length equal to the number of classes, with values >= 0.
The class with largest value p/t is predicted, where p is the original
probability of that class and t is the class' threshold.\",
typeConverter=TypeConverters.toListFloat)`
* `public final class XXH64 `
* `abstract class HashExpression[E] extends Expression `
* `abstract class InterpretedHashFunction `
* `case class Murmur3Hash(children: Seq[Expression], seed: Int) extends
HashExpression[Int] `
* `case class XxHash64(children: Seq[Expression], seed: Long) extends
HashExpression[Long] `
* ` final class GeneratedIterator extends
org.apache.spark.sql.execution.BufferedRowIterator `
* `class FileStreamSink(`
* `class StreamFileCatalog(sqlContext: SQLContext, path: Path) extends
FileCatalog with Logging `
* ` class HDFSBackedStateStore(val version: Long, mapToUpdate: MapType)`
* `case class StateStoreId(checkpointLocation: String, operatorId: Long,
partitionId: Int)`
* `trait StateStore `
* `trait StateStoreProvider `
* `case class ValueAdded(key: UnsafeRow, value: UnsafeRow) extends
StoreUpdate`
* `case class ValueUpdated(key: UnsafeRow, value: UnsafeRow) extends
StoreUpdate`
* `case class KeyRemoved(key: UnsafeRow) extends StoreUpdate`
* `class StateStoreRDD[T: ClassTag, U: ClassTag](`
* ` implicit class StateStoreOps[T: ClassTag](dataRDD: RDD[T]) `
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