Github user SparkQA commented on the pull request:

    https://github.com/apache/spark/pull/8484#issuecomment-135469174
  
      [Test build #41691 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/41691/console)
 for   PR 8484 at commit 
[`9f88786`](https://github.com/apache/spark/commit/9f88786b4efa89a7eddd81e6bba58700630a4429).
     * This patch **fails Spark unit tests**.
     * This patch merges cleanly.
     * This patch adds the following public classes _(experimental)_:
      * `class LogisticRegressionModel @Since("1.3.0") (`
      * `class SVMModel @Since("1.1.0") (`
      * `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 BinaryClassificationMetrics @Since("1.3.0") (`
      * `class MulticlassMetrics @Since("1.1.0") (predictionAndLabels: 
RDD[(Double, Double)]) `
      * `class MultilabelMetrics @Since("1.2.0") (predictionAndLabels: 
RDD[(Array[Double], Array[Double])]) `
      * `class RegressionMetrics @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 FPGrowthModel[Item: ClassTag] @Since("1.3.0") (`
      * `  class FreqItemset[Item] @Since("1.3.0") (`
      * `  class FreqSequence[Item] @Since("1.5.0") (`
      * `class PrefixSpanModel[Item] @Since("1.5.0") (`
      * `class DenseMatrix @Since("1.3.0") (`
      * `class SparseMatrix @Since("1.3.0") (`
      * `class DenseVector @Since("1.0.0") (`
      * `class SparseVector @Since("1.0.0") (`
      * `class BlockMatrix @Since("1.3.0") (`
      * `class CoordinateMatrix @Since("1.0.0") (`
      * `class IndexedRowMatrix @Since("1.0.0") (`
      * `class RowMatrix @Since("1.0.0") (`
      * `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") (`



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