SPARK_VERSION
spark
SVMDataGenerator
util
SVMModel
classification
SVMWithSGD
classification
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
s
SingularValueDecomposition
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
setAlgo
Strategy
setAlpha
ALS
setBlocks
ALS
setCategoricalFeaturesInfo
Strategy
setCheckpointDir
Strategy
setCheckpointInterval
Strategy
setConvergenceTol
LBFGS
setDecayFactor
StreamingKMeans
setEpsilon
KMeans
setEstimator
CrossValidator
setEstimatorParamMaps
CrossValidator
setEvaluator
CrossValidator
setFeaturesCol
LogisticRegression LogisticRegressionModel
setGradient
GradientDescent LBFGS
setHalfLife
StreamingKMeans
setImplicitPrefs
ALS
setImpurity
Strategy
setInitialCenters
StreamingKMeans
setInitialWeights
StreamingLinearRegressionWithSGD
setInitializationMode
KMeans
setInitializationSteps
KMeans
setInputCol
StandardScaler StandardScalerModel
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setIterations
ALS
setK
KMeans StreamingKMeans
setLabelCol
LogisticRegression BinaryClassificationEvaluator
setLambda
NaiveBayes ALS
setLearningRate
Word2Vec BoostingStrategy
setLoss
BoostingStrategy
setMaxBins
Strategy
setMaxDepth
Strategy
setMaxIter
LogisticRegression
setMaxIterations
KMeans
setMaxMemoryInMB
Strategy
setMaxNumIterations
LBFGS
setMetricName
BinaryClassificationEvaluator
setMinInfoGain
Strategy
setMinInstancesPerNode
Strategy
setMiniBatchFraction
GradientDescent StreamingLinearRegressionWithSGD
setNonnegative
ALS
setNumClasses
Strategy
setNumCorrections
LBFGS
setNumFeatures
HashingTF
setNumFolds
CrossValidator
setNumIterations
Word2Vec GradientDescent LBFGS StreamingLinearRegressionWithSGD BoostingStrategy
setNumPartitions
Word2Vec
setOutputCol
StandardScaler StandardScalerModel
setPredictionCol
LogisticRegression LogisticRegressionModel
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setRandomCenters
StreamingKMeans
setRank
ALS
setRegParam
LogisticRegression GradientDescent LBFGS
setRuns
KMeans
setScoreCol
LogisticRegression LogisticRegressionModel BinaryClassificationEvaluator
setSeed
Word2Vec PoissonGenerator StandardNormalGenerator UniformGenerator ALS
setStages
Pipeline
setStepSize
GradientDescent StreamingLinearRegressionWithSGD
setSubsamplingRate
Strategy
setThreshold
LogisticRegression LogisticRegressionModel LogisticRegressionModel SVMModel
setTreeStrategy
BoostingStrategy
setUpdater
GradientDescent LBFGS
setUseNodeIdCache
Strategy
setUserBlocks
ALS
setValidateData
GeneralizedLinearAlgorithm
setVectorSize
Word2Vec
size
DenseVector SparseVector Vector
sliding
RDDFunctions
solveLeastSquares
ALS
spark
apache
sparse
Matrices Vectors
split
Node
stages
Pipeline
stat
mllib
statistic
ChiSqTestResult TestResult
stats
Node
subsamplingRate
Strategy
subsetAccuracy
MultilabelMetrics
supportedFeatureSubsetStrategies
RandomForest