Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8509#issuecomment-136176168
[Test build #41809 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41809/console)
for PR 8509 at commit
[`38644d8`](https://github.com/apache/spark/commit/38644d8a45175cbdf20d2ace021c2c2544a50ab3).
* This patch **passes all tests**.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
* `public class JavaTrainValidationSplitExample `
* `class KMeans @Since("1.5.0") (`
* `class GaussianMixtureModel @Since("1.3.0") (`
* `class KMeansModel @Since("1.1.0") (@Since("1.0.0") val clusterCenters:
Array[Vector])`
* `class PowerIterationClusteringModel @Since("1.3.0") (`
* `class StreamingKMeansModel @Since("1.2.0") (`
* `class StreamingKMeans @Since("1.2.0") (`
* `class ChiSqSelectorModel @Since("1.3.0") (`
* `class ChiSqSelector @Since("1.3.0") (`
* `class ElementwiseProduct @Since("1.4.0") (`
* `class IDF @Since("1.2.0") (@Since("1.2.0") val minDocFreq: Int) `
* `class Normalizer @Since("1.1.0") (p: Double) extends VectorTransformer
`
* `class PCA @Since("1.4.0") (@Since("1.4.0") val k: Int) `
* `class StandardScaler @Since("1.1.0") (withMean: Boolean, withStd:
Boolean) extends Logging `
* `class StandardScalerModel @Since("1.3.0") (`
* `class PoissonGenerator @Since("1.1.0") (`
* `class ExponentialGenerator @Since("1.3.0") (`
* `class GammaGenerator @Since("1.3.0") (`
* `class LogNormalGenerator @Since("1.3.0") (`
* `case class Rating @Since("0.8.0") (`
* `class MatrixFactorizationModel @Since("0.8.0") (`
* `abstract class GeneralizedLinearModel @Since("1.0.0") (`
* `class IsotonicRegressionModel @Since("1.3.0") (`
* `case class LabeledPoint @Since("1.0.0") (`
* `class LassoModel @Since("1.1.0") (`
* `class LinearRegressionModel @Since("1.1.0") (`
* `class RidgeRegressionModel @Since("1.1.0") (`
* `class MultivariateGaussian @Since("1.3.0") (`
* `case class BoostingStrategy @Since("1.4.0") (`
* `class Strategy @Since("1.3.0") (`
* `class DecisionTreeModel @Since("1.0.0") (`
* `class Node @Since("1.2.0") (`
* `class Predict @Since("1.2.0") (`
* `class RandomForestModel @Since("1.2.0") (`
* `class GradientBoostedTreesModel @Since("1.2.0") (`
* `case class LimitNode(limit: Int, child: LocalNode) extends
UnaryLocalNode `
* `case class UnionNode(children: Seq[LocalNode]) extends LocalNode `
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