R
QRDecomposition
RANDOM
KMeans
RDDFunctions
rdd
RFormula
feature
RFormulaModel
feature
RandomDataGenerator
random
RandomForest
tree
RandomForestClassificationModel
classification
RandomForestClassifier
classification
RandomForestModel
model
RandomForestRegressionModel
regression
RandomForestRegressor
regression
RandomRDDs
random
RankingMetrics
evaluation
Rating
ALS
recommendation
RegexTokenizer
feature
Regression
Algo
RegressionEvaluator
evaluation
RegressionMetrics
evaluation
RegressionModel
regression
regression
RidgeRegressionModel
regression
RidgeRegressionWithSGD
regression
RowMatrix
distributed
Rule
AssociationRules
r2
LinearRegressionSummary
RegressionMetrics
rand
DenseMatrix
Matrices
randn
DenseMatrix
Matrices
random
mllib
randomJavaRDD
RandomRDDs
randomJavaVectorRDD
RandomRDDs
randomRDD
RandomRDDs
randomUID
Identifiable
randomVectorRDD
RandomRDDs
rank
ALSModel
GeneralizedLinearRegressionSummary
MatrixFactorizationModel
rating
Rating
Rating
raw2prediction
ClassificationModel
LogisticRegressionModel
ProbabilisticClassificationModel
raw2probability
ProbabilisticClassificationModel
raw2probabilityInPlace
DecisionTreeClassificationModel
LogisticRegressionModel
NaiveBayesModel
ProbabilisticClassificationModel
RandomForestClassificationModel
rdd
mllib
read
Pipeline
PipelineModel
DecisionTreeClassificationModel
GBTClassificationModel
LogisticRegressionModel
MultilayerPerceptronClassificationModel
NaiveBayesModel
OneVsRest
OneVsRestModel
RandomForestClassificationModel
BisectingKMeansModel
DistributedLDAModel
GaussianMixtureModel
KMeansModel
LDA
LocalLDAModel
ChiSqSelectorModel
CountVectorizerModel
IDFModel
MaxAbsScalerModel
MinMaxScalerModel
PCAModel
RFormulaModel
StandardScalerModel
StringIndexerModel
VectorIndexerModel
Word2VecModel
ALSModel
AFTSurvivalRegressionModel
DecisionTreeRegressionModel
GBTRegressionModel
GeneralizedLinearRegressionModel
IsotonicRegressionModel
LinearRegressionModel
RandomForestRegressionModel
CrossValidator
CrossValidatorModel
TrainValidationSplit
TrainValidationSplitModel
DefaultParamsReadable
MLReadable
recall
MulticlassMetrics
MultilabelMetrics
recallByThreshold
BinaryLogisticRegressionSummary
BinaryClassificationMetrics
recommendProducts
MatrixFactorizationModel
recommendProductsForUsers
MatrixFactorizationModel
recommendUsers
MatrixFactorizationModel
recommendUsersForProducts
MatrixFactorizationModel
recommendation
ml
mllib
registerStream
StreamingTest
regression
ml
mllib
remove
ParamMap
residualDegreeOfFreedom
GeneralizedLinearRegressionSummary
residualDegreeOfFreedomNull
GeneralizedLinearRegressionSummary
residuals
GeneralizedLinearRegressionSummary
LinearRegressionSummary
rightCategories
CategoricalSplit
rightChild
InternalNode
rightImpurity
InformationGainStats
rightNode
Node
rightPredict
InformationGainStats
roc
BinaryLogisticRegressionSummary
BinaryClassificationMetrics
rootMeanSquaredError
LinearRegressionSummary
RegressionMetrics
rootNode
DecisionTreeClassificationModel
DecisionTreeRegressionModel
rowIndices
SparseMatrix
rowIter
Matrix
rows
IndexedRowMatrix
RowMatrix
rowsPerBlock
BlockMatrix
run
LogisticRegressionWithLBFGS
NaiveBayes
BisectingKMeans
GaussianMixture
KMeans
LDA
PowerIterationClustering
AssociationRules
FPGrowth
PrefixSpan
ALS
GeneralizedLinearAlgorithm
IsotonicRegression
DecisionTree
GradientBoostedTrees
runLBFGS
LBFGS
runMiniBatchSGD
GradientDescent
runWithValidation
GradientBoostedTrees