SVMDataGenerator
util
SVMModel
classification
SVMWithSGD
classification
SimpleUpdater
optimization
SingularValueDecomposition
linalg
Sort
QuantileStrategy
SparseVector
linalg
Split
model
SquaredL2Updater
optimization
StandardNormalGenerator
random
StandardScaler
feature
StandardScalerModel
feature
Statistics
stat
Strategy
configuration
StreamingLinearAlgorithm
regression
StreamingLinearRegressionWithSGD
regression
s
SingularValueDecomposition
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
setAlpha
ALS
setBlocks
ALS
setConvergenceTol
LBFGS
setEpsilon
KMeans
setGradient
GradientDescent
LBFGS
setImplicitPrefs
ALS
setInitialWeights
StreamingLinearRegressionWithSGD
setInitializationMode
KMeans
setInitializationSteps
KMeans
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setIterations
ALS
setK
KMeans
setLambda
NaiveBayes
ALS
setLearningRate
Word2Vec
setMaxIterations
KMeans
setMaxNumIterations
LBFGS
setMiniBatchFraction
GradientDescent
StreamingLinearRegressionWithSGD
setNonnegative
ALS
setNumCorrections
LBFGS
setNumIterations
Word2Vec
GradientDescent
LBFGS
StreamingLinearRegressionWithSGD
setNumPartitions
Word2Vec
setProductBlocks
ALS
setRank
ALS
setRegParam
GradientDescent
LBFGS
setRuns
KMeans
setSeed
Word2Vec
PoissonGenerator
StandardNormalGenerator
UniformGenerator
ALS
setStepSize
GradientDescent
StreamingLinearRegressionWithSGD
setThreshold
LogisticRegressionModel
SVMModel
setUpdater
GradientDescent
LBFGS
setUserBlocks
ALS
setValidateData
GeneralizedLinearAlgorithm
setVectorSize
Word2Vec
size
DenseVector
SparseVector
Vector
solveLeastSquares
ALS
spark
apache
sparse
Vectors
split
Node
stat
mllib
statistic
ChiSqTestResult
TestResult
stats
Node
summary
MultivariateStatisticalSummarySerialized