Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/8571#issuecomment-137134995 [Test build #1713 has finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/1713/console) for PR 8571 at commit [`beaea59`](https://github.com/apache/spark/commit/beaea590bf4f9d1852d885ef8f751088561d0aa2). * 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 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") (` * `class DCT(JavaTransformer, HasInputCol, HasOutputCol):` * `class SQLTransformer(JavaTransformer):` * `class StopWordsRemover(JavaTransformer, HasInputCol, HasOutputCol):` * `abstract class SetOperation(left: LogicalPlan, right: LogicalPlan) extends BinaryNode ` * `case class Union(left: LogicalPlan, right: LogicalPlan) extends SetOperation(left, right) ` * `case class Intersect(left: LogicalPlan, right: LogicalPlan) extends SetOperation(left, right)` * `case class Except(left: LogicalPlan, right: LogicalPlan) extends SetOperation(left, right)` * `case class LimitNode(limit: Int, child: LocalNode) extends UnaryLocalNode ` * `case class UnionNode(children: Seq[LocalNode]) extends LocalNode `
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