SVMDataGenerator
util
SVMModel
classification
SVMWithSGD
classification
SimpleUpdater
optimization
SingularValueDecomposition
linalg
Sort
QuantileStrategy
SparseVector
linalg
Split
model
SquaredL2Updater
optimization
Strategy
configuration
s
SingularValueDecomposition
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
setAlpha
ALS
setBlocks
ALS
setConvergenceTol
LBFGS
setEpsilon
KMeans
setGradient
GradientDescent
LBFGS
setImplicitPrefs
ALS
setInitializationMode
KMeans
setInitializationSteps
KMeans
setIntercept
GeneralizedLinearAlgorithm
setIterations
ALS
setK
KMeans
setLambda
NaiveBayes
ALS
setMaxIterations
KMeans
setMaxNumIterations
LBFGS
setMiniBatchFraction
GradientDescent
setNumCorrections
LBFGS
setNumIterations
GradientDescent
setRank
ALS
setRegParam
GradientDescent
LBFGS
setRuns
KMeans
setSeed
ALS
setStepSize
GradientDescent
setThreshold
LogisticRegressionModel
SVMModel
setUpdater
GradientDescent
LBFGS
setValidateData
GeneralizedLinearAlgorithm
size
DenseVector
SparseVector
Vector
spark
apache
sparse
Vectors
split
Node
stat
mllib
stats
Node