1. org
   1. org.apache
      1. org.apache.spark
         1. org.apache.spark.ml
            1. (class)Estimator
            2. (class)Evaluator
            3. (class)Model
            4. (class)Pipeline
            5. (class)PipelineModel
            6. (class)PipelineStage
            7. (class)Transformer
            1. org.apache.spark.ml.classification
               1. (class)LogisticRegression
               2. (class)LogisticRegressionModel
            2. org.apache.spark.ml.evaluation
               1. (class)BinaryClassificationEvaluator
            3. org.apache.spark.ml.feature
               1. (class)HashingTF
               2. (class)StandardScaler
               3. (class)StandardScalerModel
               4. (class)Tokenizer
            4. org.apache.spark.ml.param
               1. (class)BooleanParam
               2. (class)DoubleParam
               3. (class)FloatParam
               4. (class)IntParam
               5. (class)LongParam
               6. (class)Param
               7. (object)(class)ParamMap
               8. (case class)ParamPair
               9. (trait)Params
            5. org.apache.spark.ml.tuning
               1. (class)CrossValidator
               2. (class)CrossValidatorModel
               3. (class)ParamGridBuilder
         2. org.apache.spark.mllib
            1. org.apache.spark.mllib.api
               1. org.apache.spark.mllib.api.python
                  1. (class)PythonMLLibAPI
            2. org.apache.spark.mllib.classification
               1. (trait)ClassificationModel
               2. (class)LogisticRegressionModel
               3. (class)LogisticRegressionWithLBFGS
               4. (object)(class)LogisticRegressionWithSGD
               5. (object)(class)NaiveBayes
               6. (class)NaiveBayesModel
               7. (class)SVMModel
               8. (object)(class)SVMWithSGD
            3. org.apache.spark.mllib.clustering
               1. (object)(class)KMeans
               2. (class)KMeansModel
               3. (class)StreamingKMeans
               4. (class)StreamingKMeansModel
            4. org.apache.spark.mllib.evaluation
               1. (class)BinaryClassificationMetrics
               2. (class)MulticlassMetrics
               3. (class)MultilabelMetrics
               4. (class)RankingMetrics
               5. (class)RegressionMetrics
            5. org.apache.spark.mllib.feature
               1. (class)HashingTF
               2. (class)IDF
               3. (class)IDFModel
               4. (class)Normalizer
               5. (class)StandardScaler
               6. (class)StandardScalerModel
               7. (trait)VectorTransformer
               8. (class)Word2Vec
               9. (class)Word2VecModel
            6. org.apache.spark.mllib.linalg
               1. (class)DenseMatrix
               2. (class)DenseVector
               3. (object)
                  Matrices
               4. (trait)Matrix
               5. (case class)SingularValueDecomposition
               6. (class)SparseMatrix
               7. (class)SparseVector
               8. (trait)Vector
               9. (object)
                  Vectors
               1. org.apache.spark.mllib.linalg.distributed
                  1. (class)CoordinateMatrix
                  2. (trait)DistributedMatrix
                  3. (case class)IndexedRow
                  4. (class)IndexedRowMatrix
                  5. (case class)MatrixEntry
                  6. (object)(class)RowMatrix
            7. org.apache.spark.mllib.optimization
               1. (class)Gradient
               2. (object)(class)GradientDescent
               3. (class)HingeGradient
               4. (class)L1Updater
               5. (object)(class)LBFGS
               6. (class)LeastSquaresGradient
               7. (class)LogisticGradient
               8. (trait)Optimizer
               9. (class)SimpleUpdater
               10. (class)SquaredL2Updater
               11. (class)Updater
            8. org.apache.spark.mllib.random
               1. (class)PoissonGenerator
               2. (trait)RandomDataGenerator
               3. (object)
                  RandomRDDs
               4. (class)StandardNormalGenerator
               5. (class)UniformGenerator
            9. org.apache.spark.mllib.rdd
               1. (object)(class)RDDFunctions
            10. org.apache.spark.mllib.recommendation
                1. (object)(class)ALS
                2. (class)MatrixFactorizationModel
                3. (case class)Rating
            11. org.apache.spark.mllib.regression
                1. (class)GeneralizedLinearAlgorithm
                2. (class)GeneralizedLinearModel
                3. (object)(case class)LabeledPoint
                4. (class)LassoModel
                5. (object)(class)LassoWithSGD
                6. (class)LinearRegressionModel
                7. (object)(class)LinearRegressionWithSGD
                8. (trait)RegressionModel
                9. (class)RidgeRegressionModel
                10. (object)(class)RidgeRegressionWithSGD
                11. (class)StreamingLinearAlgorithm
                12. (class)StreamingLinearRegressionWithSGD
            12. org.apache.spark.mllib.stat
                1. (class)MultivariateOnlineSummarizer
                2. (trait)MultivariateStatisticalSummary
                3. (object)
                   Statistics
                1. org.apache.spark.mllib.stat.test
                   1. (class)ChiSqTestResult
                   2. (trait)TestResult
            13. org.apache.spark.mllib.tree
                1. (object)(class)DecisionTree
                2. (object)(class)GradientBoostedTrees
                3. (object)
                   RandomForest
                1. org.apache.spark.mllib.tree.configuration
                   1. (object)
                      Algo
                   2. (object)(case class)BoostingStrategy
                   3. (object)
                      FeatureType
                   4. (object)
                      QuantileStrategy
                   5. (object)(class)Strategy
                2. org.apache.spark.mllib.tree.impurity
                   1. (object)
                      Entropy
                   2. (object)
                      Gini
                   3. (trait)Impurity
                   4. (object)
                      Variance
                3. org.apache.spark.mllib.tree.loss
                   1. (object)
                      AbsoluteError
                   2. (object)
                      LogLoss
                   3. (trait)Loss
                   4. (object)
                      Losses
                   5. (object)
                      SquaredError
                4. org.apache.spark.mllib.tree.model
                   1. (class)DecisionTreeModel
                   2. (class)GradientBoostedTreesModel
                   3. (class)InformationGainStats
                   4. (class)Node
                   5. (class)Predict
                   6. (class)RandomForestModel
                   7. (case class)Split
            14. org.apache.spark.mllib.util
                1. (object)
                   DataValidators
                2. (object)
                   KMeansDataGenerator
                3. (object)
                   LinearDataGenerator
                4. (object)
                   LogisticRegressionDataGenerator
                5. (object)
                   MFDataGenerator
                6. (object)
                   MLUtils
                7. (object)
                   SVMDataGenerator