SPARK_BRANCH
spark
SPARK_BUILD_DATE
spark
SPARK_BUILD_USER
spark
SPARK_REPO_URL
spark
SPARK_REVISION
spark
SPARK_VERSION
spark
SQLDataTypes
linalg
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
MLWritable MLWriter LogisticRegressionModel NaiveBayesModel SVMModel BisectingKMeansModel DistributedLDAModel GaussianMixtureModel KMeansModel LocalLDAModel PowerIterationClusteringModel ChiSqSelectorModel Word2VecModel FPGrowthModel PrefixSpanModel MatrixFactorizationModel IsotonicRegressionModel LassoModel LinearRegressionModel RidgeRegressionModel DecisionTreeModel GradientBoostedTreesModel RandomForestModel Saveable
saveAsLibSVMFile
MLUtils
saveImpl
MLWriter
scale
AFTSurvivalRegressionModel GammaGenerator
scalingVec
ElementwiseProduct ElementwiseProduct
scoreAndLabels
BinaryClassificationMetrics
selectedFeatures
ChiSqSelectorModel ChiSqSelectorModel
selectorType
ChiSqSelector
sequence
FreqSequence
serialize
VectorUDT
session
MLReader MLWriter
set
Params
setAggregationDepth
LinearSVC LogisticRegression AFTSurvivalRegression LinearRegression
setAlgo
Strategy
setAlpha
ALS LDA ALS
setBandwidth
KernelDensity
setBeta
LDA
setBinary
CountVectorizer CountVectorizerModel HashingTF HashingTF
setBlockSize
MultilayerPerceptronClassifier
setBlocks
ALS
setBucketLength
BucketedRandomProjectionLSH
setCacheNodeIds
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor
setCaseSensitive
StopWordsRemover
setCategoricalFeaturesInfo
Strategy
setCensorCol
AFTSurvivalRegression
setCheckpointInterval
DecisionTreeClassifier GBTClassifier RandomForestClassifier LDA ALS DecisionTreeRegressor GBTRegressor RandomForestRegressor LDA ALS Strategy
setClassifier
OneVsRest
setColdStartStrategy
ALS ALSModel
setConvergenceTol
GaussianMixture GradientDescent LBFGS StreamingLinearRegressionWithSGD
setDecayFactor
StreamingKMeans
setDefault
Params
setDegree
PolynomialExpansion
setDocConcentration
LDA LDA
setDropLast
OneHotEncoder
setElasticNetParam
LogisticRegression LinearRegression
setEpsilon
KMeans
setEstimator
CrossValidator TrainValidationSplit
setEstimatorParamMaps
CrossValidator TrainValidationSplit
setEvaluator
CrossValidator TrainValidationSplit
setFamily
LogisticRegression GeneralizedLinearRegression
setFdr
ChiSqSelector ChiSqSelector
setFeatureIndex
IsotonicRegression IsotonicRegressionModel
setFeatureSubsetStrategy
RandomForestClassifier RandomForestRegressor
setFeaturesCol
PredictionModel Predictor OneVsRest OneVsRestModel BisectingKMeans BisectingKMeansModel GaussianMixture GaussianMixtureModel KMeans KMeansModel LDA LDAModel ChiSqSelector ChiSqSelectorModel RFormula AFTSurvivalRegression AFTSurvivalRegressionModel IsotonicRegression IsotonicRegressionModel
setFinalRDDStorageLevel
ALS
setFinalStorageLevel
ALS
setFitIntercept
LinearSVC LogisticRegression AFTSurvivalRegression GeneralizedLinearRegression LinearRegression
setForceIndexLabel
RFormula
setFormula
RFormula
setFpr
ChiSqSelector ChiSqSelector
setFwe
ChiSqSelector ChiSqSelector
setGaps
RegexTokenizer
setGradient
GradientDescent LBFGS
setHalfLife
StreamingKMeans
setHandleInvalid
Bucketizer QuantileDiscretizer StringIndexer StringIndexerModel
setHashAlgorithm
HashingTF
setImplicitPrefs
ALS ALS
setImpurity
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setIndices
VectorSlicer
setInitMode
KMeans
setInitSteps
KMeans
setInitialCenters
StreamingKMeans
setInitialModel
GaussianMixture KMeans
setInitialWeights
MultilayerPerceptronClassifier StreamingLogisticRegressionWithSGD StreamingLinearRegressionWithSGD
setInitializationMode
KMeans PowerIterationClustering
setInitializationSteps
KMeans
setInputCol
UnaryTransformer Binarizer BucketedRandomProjectionLSH Bucketizer CountVectorizer CountVectorizerModel HashingTF IDF IDFModel IndexToString MaxAbsScaler MaxAbsScalerModel MinHashLSH MinMaxScaler MinMaxScalerModel OneHotEncoder PCA PCAModel QuantileDiscretizer StandardScaler StandardScalerModel StopWordsRemover StringIndexer StringIndexerModel VectorIndexer VectorIndexerModel VectorSlicer Word2Vec Word2VecModel
setInputCols
Imputer ImputerModel Interaction VectorAssembler
setIntercept
GeneralizedLinearAlgorithm
setIntermediateRDDStorageLevel
ALS
setIntermediateStorageLevel
ALS
setInverse
DCT
setIsotonic
IsotonicRegression IsotonicRegression
setItemCol
ALS ALSModel
setItemsCol
FPGrowth FPGrowthModel
setIterations
ALS
setK
BisectingKMeans GaussianMixture KMeans LDA PCA BisectingKMeans GaussianMixture KMeans LDA PowerIterationClustering StreamingKMeans
setKappa
OnlineLDAOptimizer
setKeepLastCheckpoint
LDA EMLDAOptimizer
setLabelCol
Predictor OneVsRest BinaryClassificationEvaluator MulticlassClassificationEvaluator RegressionEvaluator ChiSqSelector RFormula AFTSurvivalRegression IsotonicRegression
setLabels
IndexToString
setLambda
NaiveBayes ALS
setLayers
MultilayerPerceptronClassifier
setLearningDecay
LDA
setLearningOffset
LDA
setLearningRate
Word2Vec BoostingStrategy
setLink
GeneralizedLinearRegression
setLinkPower
GeneralizedLinearRegression
setLinkPredictionCol
GeneralizedLinearRegression GeneralizedLinearRegressionModel
setLoss
BoostingStrategy
setLossType
GBTClassifier GBTRegressor
setLowerBoundsOnCoefficients
LogisticRegression
setLowerBoundsOnIntercepts
LogisticRegression
setMax
MinMaxScaler MinMaxScalerModel
setMaxBins
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxCategories
VectorIndexer
setMaxDepth
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxIter
GBTClassifier LinearSVC LogisticRegression MultilayerPerceptronClassifier BisectingKMeans GaussianMixture KMeans LDA Word2Vec ALS AFTSurvivalRegression GBTRegressor GeneralizedLinearRegression LinearRegression
setMaxIterations
BisectingKMeans GaussianMixture KMeans LDA PowerIterationClustering
setMaxLocalProjDBSize
PrefixSpan
setMaxMemoryInMB
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMaxPatternLength
PrefixSpan
setMaxSentenceLength
Word2Vec Word2Vec
setMetricName
BinaryClassificationEvaluator MulticlassClassificationEvaluator RegressionEvaluator
setMin
MinMaxScaler MinMaxScalerModel
setMinConfidence
FPGrowth FPGrowthModel AssociationRules
setMinCount
Word2Vec Word2Vec
setMinDF
CountVectorizer
setMinDivisibleClusterSize
BisectingKMeans BisectingKMeans
setMinDocFreq
IDF
setMinInfoGain
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMinInstancesPerNode
DecisionTreeClassifier GBTClassifier RandomForestClassifier DecisionTreeRegressor GBTRegressor RandomForestRegressor Strategy
setMinSupport
FPGrowth FPGrowth PrefixSpan
setMinTF
CountVectorizer CountVectorizerModel
setMinTokenLength
RegexTokenizer
setMiniBatchFraction
StreamingLogisticRegressionWithSGD OnlineLDAOptimizer GradientDescent StreamingLinearRegressionWithSGD
setMissingValue
Imputer
setModelType
NaiveBayes NaiveBayes
setN
NGram
setNames
VectorSlicer
setNonnegative
ALS ALS
setNumBlocks
ALS
setNumBuckets
QuantileDiscretizer
setNumClasses
LogisticRegressionWithLBFGS Strategy
setNumCorrections
LBFGS
setNumFeatures
HashingTF
setNumFolds
CrossValidator
setNumHashTables
BucketedRandomProjectionLSH MinHashLSH
setNumItemBlocks
ALS
setNumIterations
StreamingLogisticRegressionWithSGD Word2Vec GradientDescent LBFGS StreamingLinearRegressionWithSGD BoostingStrategy
setNumPartitions
Word2Vec FPGrowth Word2Vec FPGrowth
setNumTopFeatures
ChiSqSelector ChiSqSelector
setNumTrees
RandomForestClassifier RandomForestRegressor
setNumUserBlocks
ALS
setOptimizeDocConcentration
LDA OnlineLDAOptimizer
setOptimizer
LDA LDA
setOutputCol
UnaryTransformer Binarizer BucketedRandomProjectionLSH Bucketizer ChiSqSelector ChiSqSelectorModel CountVectorizer CountVectorizerModel HashingTF IDF IDFModel IndexToString Interaction MaxAbsScaler MaxAbsScalerModel MinHashLSH MinMaxScaler MinMaxScalerModel OneHotEncoder PCA PCAModel QuantileDiscretizer StandardScaler StandardScalerModel StopWordsRemover StringIndexer StringIndexerModel VectorAssembler VectorIndexer VectorIndexerModel VectorSlicer Word2Vec Word2VecModel
setOutputCols
Imputer ImputerModel
setP
Normalizer
setParent
Model
setPattern
RegexTokenizer
setPeacePeriod
StreamingTest
setPercentile
ChiSqSelector ChiSqSelector
setPredictionCol
PredictionModel Predictor OneVsRest OneVsRestModel BisectingKMeans BisectingKMeansModel GaussianMixture GaussianMixtureModel KMeans KMeansModel MulticlassClassificationEvaluator RegressionEvaluator FPGrowth FPGrowthModel ALS ALSModel AFTSurvivalRegression AFTSurvivalRegressionModel IsotonicRegression IsotonicRegressionModel
setProbabilityCol
ProbabilisticClassificationModel ProbabilisticClassifier GaussianMixture GaussianMixtureModel
setProductBlocks
ALS
setQuantileCalculationStrategy
Strategy
setQuantileProbabilities
AFTSurvivalRegression AFTSurvivalRegressionModel
setQuantilesCol
AFTSurvivalRegression AFTSurvivalRegressionModel
setRandomCenters
StreamingKMeans
setRank
ALS ALS
setRatingCol
ALS
setRawPredictionCol
ClassificationModel Classifier BinaryClassificationEvaluator
setRegParam
LinearSVC LogisticRegression ALS GeneralizedLinearRegression LinearRegression StreamingLogisticRegressionWithSGD GradientDescent LBFGS StreamingLinearRegressionWithSGD
setRelativeError
QuantileDiscretizer
setRuns
KMeans
setSample
KernelDensity
setScalingVec
ElementwiseProduct
setSeed
DecisionTreeClassifier GBTClassifier MultilayerPerceptronClassifier RandomForestClassifier BisectingKMeans GaussianMixture KMeans LDA LDAModel BucketedRandomProjectionLSH MinHashLSH Word2Vec ALS DecisionTreeRegressor GBTRegressor RandomForestRegressor CrossValidator TrainValidationSplit BisectingKMeans GaussianMixture KMeans LDA Word2Vec ExponentialGenerator GammaGenerator LogNormalGenerator PoissonGenerator StandardNormalGenerator UniformGenerator WeibullGenerator ALS
setSelectorType
ChiSqSelector ChiSqSelector
setSmoothing
NaiveBayes
setSolver
MultilayerPerceptronClassifier GeneralizedLinearRegression LinearRegression
setSplits
Bucketizer
setStages
Pipeline
setStandardization
LinearSVC LogisticRegression LinearRegression
setStatement
SQLTransformer
setStepSize
GBTClassifier MultilayerPerceptronClassifier Word2Vec GBTRegressor StreamingLogisticRegressionWithSGD GradientDescent StreamingLinearRegressionWithSGD
setStopWords
StopWordsRemover
setStrategy
Imputer
setSubsamplingRate
GBTClassifier RandomForestClassifier LDA GBTRegressor RandomForestRegressor Strategy
setTau0
OnlineLDAOptimizer
setTestMethod
StreamingTest
setThreshold
LinearSVC LinearSVCModel LogisticRegression LogisticRegressionModel Binarizer LogisticRegressionModel SVMModel
setThresholds
LogisticRegression LogisticRegressionModel ProbabilisticClassificationModel ProbabilisticClassifier
setToLowercase
RegexTokenizer
setTol
LinearSVC LogisticRegression MultilayerPerceptronClassifier GaussianMixture KMeans AFTSurvivalRegression GeneralizedLinearRegression LinearRegression
setTopicConcentration
LDA LDA
setTopicDistributionCol
LDA LDAModel
setTrainRatio
TrainValidationSplit
setTreeStrategy
BoostingStrategy
setUpdater
GradientDescent LBFGS
setUpperBoundsOnCoefficients
LogisticRegression
setUpperBoundsOnIntercepts
LogisticRegression
setUseNodeIdCache
Strategy
setUserBlocks
ALS
setUserCol
ALS ALSModel
setValidateData
GeneralizedLinearAlgorithm
setValidationTol
BoostingStrategy
setVarianceCol
DecisionTreeRegressionModel DecisionTreeRegressor
setVariancePower
GeneralizedLinearRegression
setVectorSize
Word2Vec Word2Vec
setVocabSize
CountVectorizer
setWeightCol
LinearSVC LinearSVCModel LogisticRegression NaiveBayes OneVsRest GeneralizedLinearRegression IsotonicRegression LinearRegression
setWindowSize
Word2Vec Word2Vec StreamingTest
setWithMean
StandardScaler StandardScalerModel
setWithStd
StandardScaler StandardScalerModel
shape
GammaGenerator
shouldOverwrite
MLWriter
sigma
MultivariateGaussian
size
AttributeGroup ParamMap DenseVector SparseVector Vector
sliding
RDDFunctions
solver
GeneralizedLinearRegressionTrainingSummary
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
ml mllib
statement
SQLTransformer
statistic
ChiSqTestResult KolmogorovSmirnovTestResult TestResult
stats
Node
std
NumericAttribute StandardScalerModel StandardScalerModel LogNormalGenerator
stopWords
StopWordsRemover
subsamplingRate
Strategy
subsetAccuracy
MultilabelMetrics
subtract
BlockMatrix
summary
LogisticRegressionModel BisectingKMeansModel GaussianMixtureModel KMeansModel GeneralizedLinearRegressionModel LinearRegressionModel
supportedFeatureSubsetStrategies
RandomForestClassifier RandomForestRegressor RandomForest
supportedImpurities
DecisionTreeClassifier RandomForestClassifier DecisionTreeRegressor RandomForestRegressor
supportedLossTypes
GBTClassifier GBTRegressor
surrogateDF
ImputerModel