SPARK_VERSION
spark
SVMDataGenerator
util
SVMModel
classification
SVMWithSGD
classification
Saveable
util
SimpleUpdater
optimization
SingularValueDecomposition
linalg
Sort
QuantileStrategy
SparseMatrix
linalg
SparseVector
linalg
Split
tree 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
StringArrayParam
param
StringIndexer
feature
StringIndexerModel
feature
s
SingularValueDecomposition
save
LogisticRegressionModel NaiveBayesModel SVMModel GaussianMixtureModel KMeansModel PowerIterationClusteringModel Word2VecModel MatrixFactorizationModel IsotonicRegressionModel LassoModel LinearRegressionModel RidgeRegressionModel DecisionTreeModel GradientBoostedTreesModel RandomForestModel Saveable
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
scale
GammaGenerator
scalingVec
ElementwiseProduct
scalingVector
ElementwiseProduct
scoreAndLabels
BinaryClassificationMetrics
selectedFeatures
ChiSqSelectorModel
set
Params
setAlgo
Strategy
setAlpha
ALS LDA ALS
setBandwidth
KernelDensity
setBeta
LDA
setBlocks
ALS
setCacheNodeIds
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor
setCategoricalFeaturesInfo
Strategy
setCheckpointInterval
DecisionTreeClassifier GBTClassifier RandomForestClassifier ALS DecisionTreeRegressor GBTRegressor RandomForestRegressor LDA ALS Strategy
setClassifier
OneVsRest
setConvergenceTol
GaussianMixture LBFGS
setDecayFactor
StreamingKMeans
setDefault
Params
setDegree
PolynomialExpansion
setDocConcentration
LDA
setDropLast
OneHotEncoder
setElasticNetParam
LogisticRegression LinearRegression
setEpsilon
KMeans
setEstimator
CrossValidator
setEstimatorParamMaps
CrossValidator
setEvaluator
CrossValidator
setFeatureSubsetStrategy
RandomForestClassifier RandomForestRegressor
setFeaturesCol
PredictionModel Predictor
setFinalRDDStorageLevel
ALS
setFitIntercept
LogisticRegression
setGaps
RegexTokenizer
setGradient
GradientDescent LBFGS
setHalfLife
StreamingKMeans
setImplicitPrefs
ALS ALS
setImpurity
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setInitialCenters
StreamingKMeans
setInitialModel
GaussianMixture
setInitialWeights
StreamingLogisticRegressionWithSGD StreamingLinearRegressionWithSGD
setInitializationMode
KMeans PowerIterationClustering
setInitializationSteps
KMeans
setInputCol
UnaryTransformer Binarizer Bucketizer HashingTF IDF IDFModel OneHotEncoder StandardScaler StandardScalerModel StringIndexer StringIndexerModel VectorIndexer VectorIndexerModel Word2Vec Word2VecModel
setInputCols
VectorAssembler
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setIsotonic
IsotonicRegression
setItemCol
ALS ALSModel
setIterations
ALS
setK
GaussianMixture KMeans LDA PowerIterationClustering StreamingKMeans
setKappa
OnlineLDAOptimizer
setLabelCol
Predictor BinaryClassificationEvaluator RegressionEvaluator
setLambda
NaiveBayes ALS
setLearningRate
Word2Vec BoostingStrategy
setLoss
BoostingStrategy
setLossType
GBTClassifier GBTRegressor
setMaxBins
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxCategories
VectorIndexer
setMaxDepth
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxIter
GBTClassifier LogisticRegression Word2Vec ALS GBTRegressor LinearRegression
setMaxIterations
GaussianMixture KMeans LDA PowerIterationClustering
setMaxMemoryInMB
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxNumIterations
LBFGS
setMetricName
BinaryClassificationEvaluator RegressionEvaluator
setMinCount
Word2Vec Word2Vec
setMinInfoGain
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMinInstancesPerNode
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMinSupport
FPGrowth
setMinTokenLength
RegexTokenizer
setMiniBatchFraction
StreamingLogisticRegressionWithSGD OnlineLDAOptimizer GradientDescent StreamingLinearRegressionWithSGD
setModelType
NaiveBayes
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 Word2Vec FPGrowth
setNumTrees
RandomForestClassifier RandomForestRegressor
setNumUserBlocks
ALS
setOptimizer
LDA
setOutputCol
UnaryTransformer Binarizer Bucketizer HashingTF IDF IDFModel OneHotEncoder StandardScaler StandardScalerModel StringIndexer StringIndexerModel VectorAssembler VectorIndexer VectorIndexerModel Word2Vec Word2VecModel
setP
Normalizer
setParent
Model
setPattern
RegexTokenizer
setPredictionCol
PredictionModel Predictor RegressionEvaluator ALS ALSModel
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setRandomCenters
StreamingKMeans
setRank
ALS ALS
setRatingCol
ALS
setRawPredictionCol
ClassificationModel Classifier
setRegParam
LogisticRegression ALS LinearRegression StreamingLogisticRegressionWithSGD GradientDescent LBFGS
setRuns
KMeans
setSample
KernelDensity
setScalingVec
ElementwiseProduct
setScoreCol
BinaryClassificationEvaluator
setSeed
GBTClassifier RandomForestClassifier Word2Vec ALS GBTRegressor RandomForestRegressor GaussianMixture KMeans LDA Word2Vec ExponentialGenerator GammaGenerator LogNormalGenerator PoissonGenerator StandardNormalGenerator UniformGenerator ALS
setSplits
Bucketizer
setStages
Pipeline
setStepSize
GBTClassifier Word2Vec GBTRegressor StreamingLogisticRegressionWithSGD GradientDescent StreamingLinearRegressionWithSGD
setSubsamplingRate
GBTClassifier RandomForestClassifier GBTRegressor RandomForestRegressor Strategy
setTau0
OnlineLDAOptimizer
setThreshold
LogisticRegression LogisticRegressionModel Binarizer LogisticRegressionModel SVMModel
setTol
LogisticRegression LinearRegression
setTopicConcentration
LDA
setTreeStrategy
BoostingStrategy
setUpdater
GradientDescent LBFGS
setUseNodeIdCache
Strategy
setUserBlocks
ALS
setUserCol
ALS ALSModel
setValidateData
GeneralizedLinearAlgorithm
setValidationTol
BoostingStrategy
setVectorSize
Word2Vec Word2Vec
setWithMean
StandardScaler StandardScalerModel
setWithStd
StandardScaler StandardScalerModel
shape
GammaGenerator
sigma
MultivariateGaussian
size
AttributeGroup ParamMap DenseVector SparseVector Vector
sliding
RDDFunctions
spark
apache
sparse
Matrices Vectors
sparsity
NumericAttribute
spdiag
SparseMatrix
speye
Matrices SparseMatrix
split
InternalNode Node
splits
Bucketizer
sprand
Matrices SparseMatrix
sprandn
Matrices SparseMatrix
sqdist
Vectors
stages
Pipeline PipelineModel
stat
mllib
statistic
ChiSqTestResult TestResult
stats
Node
std
NumericAttribute StandardScalerModel LogNormalGenerator
subsamplingRate
Strategy
subsetAccuracy
MultilabelMetrics
supportedFeatureSubsetStrategies
RandomForestClassifier RandomForestRegressor RandomForest
supportedImpurities
DecisionTreeClassifier RandomForestClassifier DecisionTreeRegressor RandomForestRegressor
supportedLossTypes
GBTClassifier GBTRegressor