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
StopWordsRemover
feature
Strategy
configuration
StreamingKMeans
clustering
StreamingKMeansModel
clustering
StreamingLinearAlgorithm
regression
StreamingLinearRegressionWithSGD
regression
StreamingLogisticRegressionWithSGD
classification
StringArrayParam
param
StringIndexer
feature
StringIndexerModel
feature
s
SingularValueDecomposition
save
LogisticRegressionModel
NaiveBayesModel
SVMModel
DistributedLDAModel
GaussianMixtureModel
KMeansModel
LocalLDAModel
PowerIterationClusteringModel
Word2VecModel
MatrixFactorizationModel
IsotonicRegressionModel
LassoModel
LinearRegressionModel
RidgeRegressionModel
DecisionTreeModel
GradientBoostedTreesModel
RandomForestModel
Saveable
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
scale
GammaGenerator
scalingVec
ElementwiseProduct
ElementwiseProduct
scoreAndLabels
BinaryClassificationMetrics
selectedFeatures
ChiSqSelectorModel
sequence
FreqSequence
serialize
VectorUDT
set
Params
setAlgo
Strategy
setAlpha
ALS
LDA
ALS
setBandwidth
KernelDensity
setBeta
LDA
setBlockSize
MultilayerPerceptronClassifier
setBlocks
ALS
setCacheNodeIds
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
setCaseSensitive
StopWordsRemover
setCategoricalFeaturesInfo
Strategy
setCheckpointInterval
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
ALS
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
LDA
ALS
Strategy
setClassifier
OneVsRest
setConvergenceTol
GaussianMixture
GradientDescent
LBFGS
StreamingLinearRegressionWithSGD
setDecayFactor
StreamingKMeans
setDefault
Params
setDegree
PolynomialExpansion
setDocConcentration
LDA
setDropLast
OneHotEncoder
setElasticNetParam
LogisticRegression
LinearRegression
setEpsilon
KMeans
setEstimator
CrossValidator
TrainValidationSplit
setEstimatorParamMaps
CrossValidator
TrainValidationSplit
setEvaluator
CrossValidator
TrainValidationSplit
setFeatureIndex
IsotonicRegression
IsotonicRegressionModel
setFeatureSubsetStrategy
RandomForestClassifier
RandomForestRegressor
setFeaturesCol
PredictionModel
Predictor
OneVsRest
KMeans
RFormula
IsotonicRegression
IsotonicRegressionModel
setFinalRDDStorageLevel
ALS
setFitIntercept
LogisticRegression
LinearRegression
setFormula
RFormula
setGaps
RegexTokenizer
setGradient
GradientDescent
LBFGS
setHalfLife
StreamingKMeans
setImplicitPrefs
ALS
ALS
setImpurity
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setIndices
VectorSlicer
setInitMode
KMeans
setInitSteps
KMeans
setInitialCenters
StreamingKMeans
setInitialModel
GaussianMixture
KMeans
setInitialWeights
StreamingLogisticRegressionWithSGD
StreamingLinearRegressionWithSGD
setInitializationMode
KMeans
PowerIterationClustering
setInitializationSteps
KMeans
setInputCol
UnaryTransformer
Binarizer
Bucketizer
CountVectorizer
CountVectorizerModel
HashingTF
IDF
IDFModel
IndexToString
MinMaxScaler
MinMaxScalerModel
OneHotEncoder
PCA
PCAModel
StandardScaler
StandardScalerModel
StopWordsRemover
StringIndexer
StringIndexerModel
VectorIndexer
VectorIndexerModel
VectorSlicer
Word2Vec
Word2VecModel
setInputCols
VectorAssembler
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setInverse
DCT
setIsotonic
IsotonicRegression
IsotonicRegression
setItemCol
ALS
ALSModel
setIterations
ALS
setK
KMeans
PCA
GaussianMixture
KMeans
LDA
PowerIterationClustering
StreamingKMeans
setKappa
OnlineLDAOptimizer
setLabelCol
Predictor
OneVsRest
BinaryClassificationEvaluator
MulticlassClassificationEvaluator
RegressionEvaluator
RFormula
IsotonicRegression
setLabels
IndexToString
setLambda
NaiveBayes
ALS
setLayers
MultilayerPerceptronClassifier
setLearningRate
Word2Vec
BoostingStrategy
setLoss
BoostingStrategy
setLossType
GBTClassifier
GBTRegressor
setMax
MinMaxScaler
MinMaxScalerModel
setMaxBins
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setMaxCategories
VectorIndexer
setMaxDepth
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setMaxIter
GBTClassifier
LogisticRegression
MultilayerPerceptronClassifier
KMeans
Word2Vec
ALS
GBTRegressor
LinearRegression
setMaxIterations
GaussianMixture
KMeans
LDA
PowerIterationClustering
setMaxLocalProjDBSize
PrefixSpan
setMaxMemoryInMB
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setMaxNumIterations
LBFGS
setMaxPatternLength
PrefixSpan
setMetricName
BinaryClassificationEvaluator
MulticlassClassificationEvaluator
RegressionEvaluator
setMin
MinMaxScaler
MinMaxScalerModel
setMinConfidence
AssociationRules
setMinCount
Word2Vec
Word2Vec
setMinDF
CountVectorizer
setMinDocFreq
IDF
setMinInfoGain
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setMinInstancesPerNode
DecisionTreeClassifier
GBTClassifier
RandomForestClassifier
DecisionTreeRegressor
GBTRegressor
RandomForestRegressor
Strategy
setMinSupport
FPGrowth
PrefixSpan
setMinTF
CountVectorizer
CountVectorizerModel
setMinTokenLength
RegexTokenizer
setMiniBatchFraction
StreamingLogisticRegressionWithSGD
OnlineLDAOptimizer
GradientDescent
StreamingLinearRegressionWithSGD
setModelType
NaiveBayes
NaiveBayes
setN
NGram
setNames
VectorSlicer
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
setOptimizeDocConcentration
OnlineLDAOptimizer
setOptimizer
LDA
setOutputCol
UnaryTransformer
Binarizer
Bucketizer
CountVectorizer
CountVectorizerModel
HashingTF
IDF
IDFModel
IndexToString
MinMaxScaler
MinMaxScalerModel
OneHotEncoder
PCA
PCAModel
StandardScaler
StandardScalerModel
StopWordsRemover
StringIndexer
StringIndexerModel
VectorAssembler
VectorIndexer
VectorIndexerModel
VectorSlicer
Word2Vec
Word2VecModel
setP
Normalizer
setParent
Model
setPattern
RegexTokenizer
setPredictionCol
PredictionModel
Predictor
OneVsRest
KMeans
MulticlassClassificationEvaluator
RegressionEvaluator
ALS
ALSModel
IsotonicRegression
IsotonicRegressionModel
setProbabilityCol
ProbabilisticClassificationModel
ProbabilisticClassifier
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setRandomCenters
StreamingKMeans
setRank
ALS
ALS
setRatingCol
ALS
setRawPredictionCol
ClassificationModel
Classifier
BinaryClassificationEvaluator
setRegParam
LogisticRegression
ALS
LinearRegression
StreamingLogisticRegressionWithSGD
GradientDescent
LBFGS
setRuns
KMeans
setSample
KernelDensity
setScalingVec
ElementwiseProduct
setScoreCol
BinaryClassificationEvaluator
setSeed
GBTClassifier
MultilayerPerceptronClassifier
RandomForestClassifier
KMeans
Word2Vec
ALS
GBTRegressor
RandomForestRegressor
GaussianMixture
KMeans
LDA
Word2Vec
ExponentialGenerator
GammaGenerator
LogNormalGenerator
PoissonGenerator
StandardNormalGenerator
UniformGenerator
ALS
setSmoothing
NaiveBayes
setSplits
Bucketizer
setStages
Pipeline
setStandardization
LogisticRegression
LinearRegression
setStepSize
GBTClassifier
Word2Vec
GBTRegressor
StreamingLogisticRegressionWithSGD
GradientDescent
StreamingLinearRegressionWithSGD
setStopWords
StopWordsRemover
setSubsamplingRate
GBTClassifier
RandomForestClassifier
GBTRegressor
RandomForestRegressor
Strategy
setTau0
OnlineLDAOptimizer
setThreshold
LogisticRegression
LogisticRegressionModel
Binarizer
LogisticRegressionModel
SVMModel
setThresholds
LogisticRegression
LogisticRegressionModel
ProbabilisticClassificationModel
ProbabilisticClassifier
setTol
LogisticRegression
MultilayerPerceptronClassifier
KMeans
LinearRegression
setTopicConcentration
LDA
setTrainRatio
TrainValidationSplit
setTreeStrategy
BoostingStrategy
setUpdater
GradientDescent
LBFGS
setUseNodeIdCache
Strategy
setUserBlocks
ALS
setUserCol
ALS
ALSModel
setValidateData
GeneralizedLinearAlgorithm
setValidationTol
BoostingStrategy
setVectorSize
Word2Vec
Word2Vec
setVocabSize
CountVectorizer
setWeightCol
IsotonicRegression
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
sqlType
VectorUDT
stages
Pipeline
PipelineModel
stat
mllib
statistic
ChiSqTestResult
KolmogorovSmirnovTestResult
TestResult
stats
Node
std
NumericAttribute
StandardScalerModel
StandardScalerModel
LogNormalGenerator
stopWords
StopWordsRemover
subsamplingRate
Strategy
subsetAccuracy
MultilabelMetrics
summary
LogisticRegressionModel
LinearRegressionModel
supportedFeatureSubsetStrategies
RandomForestClassifier
RandomForestRegressor
RandomForest
supportedImpurities
DecisionTreeClassifier
RandomForestClassifier
DecisionTreeRegressor
RandomForestRegressor
supportedLossTypes
GBTClassifier
GBTRegressor