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
ALS
LDA
ALS
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