Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8479#issuecomment-135369577
[Test build #1696 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/NewSparkPullRequestBuilder/1696/console)
for PR 8479 at commit
[`b6c17e7`](https://github.com/apache/spark/commit/b6c17e7daad09096e0bed94e677226b61d349bc1).
* This patch **passes all 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") (`
* `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)`
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