SPARK_VERSION
spark
SVMDataGenerator
util
SVMModel
classification
SVMWithSGD
classification
Saveable
util
SimpleUpdater
optimization
SingularValueDecomposition
linalg
Sort
QuantileStrategy
SparseMatrix
linalg
SparseVector
linalg
Split
model
SquaredError
loss
SquaredL2Updater
optimization
StandardNormalGenerator
random
StandardScaler
feature feature
StandardScalerModel
feature feature
Statistics
stat
Strategy
configuration
StreamingKMeans
clustering
StreamingKMeansModel
clustering
StreamingLinearAlgorithm
regression
StreamingLinearRegressionWithSGD
regression
StreamingLogisticRegressionWithSGD
classification
s
SingularValueDecomposition
save
LogisticRegressionModel NaiveBayesModel SVMModel MatrixFactorizationModel LassoModel LinearRegressionModel RidgeRegressionModel DecisionTreeModel GradientBoostedTreesModel RandomForestModel Saveable
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
scale
GammaGenerator
scoreAndLabels
BinaryClassificationMetrics
selectedFeatures
ChiSqSelectorModel
set
Params
setAlgo
Strategy
setAlpha
ALS LDA ALS
setBeta
LDA
setBlocks
ALS
setCategoricalFeaturesInfo
Strategy
setCheckpointInterval
LDA Strategy
setConvergenceTol
GaussianMixture LBFGS
setDecayFactor
StreamingKMeans
setDocConcentration
LDA
setEpsilon
KMeans
setEstimator
CrossValidator
setEstimatorParamMaps
CrossValidator
setEvaluator
CrossValidator
setFinalRDDStorageLevel
ALS
setGradient
GradientDescent LBFGS
setHalfLife
StreamingKMeans
setImplicitPrefs
ALS ALS
setImpurity
Strategy
setInitialCenters
StreamingKMeans
setInitialModel
GaussianMixture
setInitialWeights
StreamingLogisticRegressionWithSGD StreamingLinearRegressionWithSGD
setInitializationMode
KMeans PowerIterationClustering
setInitializationSteps
KMeans
setInputCol
StandardScaler StandardScalerModel
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setIsotonic
IsotonicRegression
setItemCol
ALS
setIterations
ALS
setK
GaussianMixture KMeans LDA PowerIterationClustering StreamingKMeans
setLabelCol
BinaryClassificationEvaluator
setLambda
NaiveBayes ALS
setLearningRate
Word2Vec BoostingStrategy
setLoss
BoostingStrategy
setMaxBins
Strategy
setMaxDepth
Strategy
setMaxIter
LogisticRegression ALS LinearRegression
setMaxIterations
GaussianMixture KMeans LDA PowerIterationClustering
setMaxMemoryInMB
Strategy
setMaxNumIterations
LBFGS
setMetricName
BinaryClassificationEvaluator
setMinCount
Word2Vec
setMinInfoGain
Strategy
setMinInstancesPerNode
Strategy
setMinSupport
FPGrowth
setMiniBatchFraction
StreamingLogisticRegressionWithSGD GradientDescent StreamingLinearRegressionWithSGD
setNonnegative
ALS ALS
setNumBlocks
ALS
setNumClasses
LogisticRegressionWithLBFGS Strategy
setNumCorrections
LBFGS
setNumFeatures
HashingTF
setNumFolds
CrossValidator
setNumItemBlocks
ALS
setNumIterations
StreamingLogisticRegressionWithSGD Word2Vec GradientDescent LBFGS StreamingLinearRegressionWithSGD BoostingStrategy
setNumPartitions
Word2Vec FPGrowth
setNumUserBlocks
ALS
setOutputCol
StandardScaler StandardScalerModel
setPredictionCol
ALS ALSModel
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setRandomCenters
StreamingKMeans
setRank
ALS ALS
setRatingCol
ALS
setRegParam
LogisticRegression ALS LinearRegression StreamingLogisticRegressionWithSGD GradientDescent LBFGS
setRuns
KMeans
setScoreCol
BinaryClassificationEvaluator
setSeed
GaussianMixture KMeans LDA Word2Vec ExponentialGenerator GammaGenerator LogNormalGenerator PoissonGenerator StandardNormalGenerator UniformGenerator ALS
setStages
Pipeline
setStepSize
StreamingLogisticRegressionWithSGD GradientDescent StreamingLinearRegressionWithSGD
setSubsamplingRate
Strategy
setThreshold
LogisticRegression LogisticRegressionModel LogisticRegressionModel SVMModel
setTopicConcentration
LDA
setTreeStrategy
BoostingStrategy
setUpdater
GradientDescent LBFGS
setUseNodeIdCache
Strategy
setUserBlocks
ALS
setUserCol
ALS
setValidateData
GeneralizedLinearAlgorithm
setVectorSize
Word2Vec
setWithMean
StandardScalerModel
setWithStd
StandardScalerModel
shape
GammaGenerator
sigma
MultivariateGaussian
size
ParamMap DenseVector SparseVector Vector
sliding
RDDFunctions
spark
apache
sparse
Matrices Vectors
spdiag
SparseMatrix
speye
Matrices SparseMatrix
split
Node
sprand
Matrices SparseMatrix
sprandn
Matrices SparseMatrix
sqdist
Vectors
stages
Pipeline
stat
mllib
statistic
ChiSqTestResult TestResult
stats
Node
std
StandardScalerModel LogNormalGenerator
subsamplingRate
Strategy
subsetAccuracy
MultilabelMetrics
supportedFeatureSubsetStrategies
RandomForest