SPARK_VERSION
spark
SQLTransformer
feature
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
StreamingTest
test
StringArrayParam
param
StringIndexer
feature
StringIndexerModel
feature
s
SingularValueDecomposition
save
LogisticRegressionModel NaiveBayesModel SVMModel DistributedLDAModel GaussianMixtureModel KMeansModel LocalLDAModel PowerIterationClusteringModel ChiSqSelectorModel Word2VecModel MatrixFactorizationModel IsotonicRegressionModel LassoModel LinearRegressionModel RidgeRegressionModel DecisionTreeModel GradientBoostedTreesModel RandomForestModel Saveable
saveAsLibSVMFile
MLUtils
saveLabeledData
MLUtils
scale
AFTSurvivalRegressionModel 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
setCensorCol
AFTSurvivalRegression
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 ChiSqSelector ChiSqSelectorModel RFormula AFTSurvivalRegression AFTSurvivalRegressionModel IsotonicRegression IsotonicRegressionModel
setFinalRDDStorageLevel
ALS
setFitIntercept
LogisticRegression AFTSurvivalRegression LinearRegression
setFormula
RFormula
setGaps
RegexTokenizer
setGradient
GradientDescent LBFGS
setHalfLife
StreamingKMeans
setHandleInvalid
StringIndexer StringIndexerModel
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 QuantileDiscretizer StandardScaler StandardScalerModel StopWordsRemover StringIndexer StringIndexerModel VectorIndexer VectorIndexerModel VectorSlicer Word2Vec Word2VecModel
setInputCols
Interaction 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 ChiSqSelector ChiSqSelectorModel RFormula AFTSurvivalRegression 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 AFTSurvivalRegression 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
setNumBuckets
QuantileDiscretizer
setNumClasses
LogisticRegressionWithLBFGS Strategy
setNumCorrections
LBFGS
setNumFeatures
HashingTF
setNumFolds
CrossValidator
setNumItemBlocks
ALS
setNumIterations
StreamingLogisticRegressionWithSGD Word2Vec GradientDescent LBFGS StreamingLinearRegressionWithSGD BoostingStrategy
setNumPartitions
Word2Vec Word2Vec FPGrowth
setNumTopFeatures
ChiSqSelector
setNumTrees
RandomForestClassifier RandomForestRegressor
setNumUserBlocks
ALS
setOptimizeDocConcentration
OnlineLDAOptimizer
setOptimizer
LDA
setOutputCol
UnaryTransformer Binarizer Bucketizer ChiSqSelector ChiSqSelectorModel CountVectorizer CountVectorizerModel HashingTF IDF IDFModel IndexToString Interaction MinMaxScaler MinMaxScalerModel OneHotEncoder PCA PCAModel QuantileDiscretizer StandardScaler StandardScalerModel StopWordsRemover StringIndexer StringIndexerModel VectorAssembler VectorIndexer VectorIndexerModel VectorSlicer Word2Vec Word2VecModel
setP
Normalizer
setParent
Model
setPattern
RegexTokenizer
setPeacePeriod
StreamingTest
setPredictionCol
PredictionModel Predictor OneVsRest KMeans MulticlassClassificationEvaluator RegressionEvaluator ALS ALSModel AFTSurvivalRegression AFTSurvivalRegressionModel IsotonicRegression IsotonicRegressionModel
setProbabilityCol
ProbabilisticClassificationModel ProbabilisticClassifier
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setQuantileProbabilities
AFTSurvivalRegression AFTSurvivalRegressionModel
setQuantilesCol
AFTSurvivalRegression AFTSurvivalRegressionModel
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 WeibullGenerator ALS
setSmoothing
NaiveBayes
setSolver
LinearRegression
setSplits
Bucketizer
setStages
Pipeline
setStandardization
LogisticRegression LinearRegression
setStatement
SQLTransformer
setStepSize
GBTClassifier Word2Vec GBTRegressor StreamingLogisticRegressionWithSGD GradientDescent StreamingLinearRegressionWithSGD
setStopWords
StopWordsRemover
setSubsamplingRate
GBTClassifier RandomForestClassifier GBTRegressor RandomForestRegressor Strategy
setTau0
OnlineLDAOptimizer
setTestMethod
StreamingTest
setThreshold
LogisticRegression LogisticRegressionModel Binarizer LogisticRegressionModel SVMModel
setThresholds
LogisticRegression LogisticRegressionModel ProbabilisticClassificationModel ProbabilisticClassifier
setTol
LogisticRegression MultilayerPerceptronClassifier KMeans AFTSurvivalRegression 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
LogisticRegression IsotonicRegression LinearRegression
setWindowSize
StreamingTest
setWithMean
StandardScaler StandardScalerModel
setWithStd
StandardScaler StandardScalerModel
shape
GammaGenerator
shortName
DefaultSource
sigma
MultivariateGaussian
size
AttributeGroup ParamMap DenseVector SparseVector Vector
sliding
RDDFunctions
source
ml
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
statement
SQLTransformer
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