SPARK_BRANCH
spark
SPARK_BUILD_DATE
spark
SPARK_BUILD_USER
spark
SPARK_REPO_URL
spark
SPARK_REVISION
spark
SPARK_VERSION
spark
SQLOperations
util
SamplerParams
UnwrappedStage
SamplingTransformer
UnwrappedStage
Scaler
odkl
ScalerEstimator
odkl
ScalerParams
odkl
ScoreLabel
PartitionedRankingEvaluator
SelectingModel
odkl
SeriallizableAvlTreeDigest
odkl
SignificantFeatureSelector
odkl
SimpleReproContext
repro
SliceSampler
hyperparameter
SparkSqlUtils
odkl
SparkUtils
odkl
SqlFilter
odkl
StableOrderParamGridBuilder
hyperopt
StationaryKernel
kernels
StochasticHyperopt
hyperopt
Strategy
sql
SummarizableEstimator
odkl
safePositive
SamplerParams
sample
UnwrappedStage
sampleInitialParams
BayesianParamOptimizer GaussianProcessOptimizer RandomOptimizer
sampleNext
GaussianProcessEstimator
sampleNextParams
BayesianParamOptimizer GaussianProcessOptimizer RandomOptimizer
sampleRows
CRRSamplerModel
save
Writer
saveImpl
WithSummaryWriter
saveInputColumns
ColumnsExtractor
scala
xgboost4j
scale
DistributedSgdState Scaler
scaleComposite
Scaler
scaler
Unscaler
score
ScoreLabel
scoreIndexColumnParam
PartitionedRankingEvaluator
search
hyperparameter
searchMode
StochasticHyperopt
select
ColumnsExtractor SignificantFeatureSelector
selectBestCandidate
GaussianProcessSearch
set
BitSet
setAddGlobal
CrossValidator
setAddRawTrees
OkXGBoostParams
setAddSignificance
OkXGBoostParams RandomForestClassifier
setAggregationDepth
LinearRegression
setAlpha
XGBoostClassifier XGBoostRegressor EWStatsTransformer
setBaseMarginCol
XGBoostClassifier XGBoostRegressor
setBaseScore
XGBoostClassifier XGBoostRegressor
setBasisSize
RandomProjectionsHasher
setBatchSize
HasBatchSize
setBeta
EWStatsTransformer
setBounds
OrderedCut
setCacheNodeIds
RandomForestClassifier
setCacheRdd
CachingTransformer
setCacheTrainData
HasCacheTrainData
setCacheTransformed
UnwrappedStage
setCheckpointInterval
RandomForestClassifier XGBoostClassifier XGBoostRegressor
setCheckpointPath
XGBoostClassifier XGBoostRegressor
setClassesColumn
HasClassesCol
setClassesMap
PerClassModelLearner
setClassesToIgnore
PerClassModelLearner
setClassesWeights
HasClassesWeights
setColsampleBylevel
XGBoostClassifier XGBoostRegressor
setColsampleBytree
XGBoostClassifier XGBoostRegressor
setColumnAttributeMap
HasColumnAttributeMap
setColumnToOrderGroupsBy
TopKTransformer
setColumnsToExclude
HasColumnsSets
setColumnsToInclude
HasColumnsSets
setColumnsToKeep
ProjectingTransformer
setColumnsToRemove
ProjectingTransformer
setCompression
VectorStatCollector
setConfOverrides
ForkedSparkEstimator
setConfigurationIndexColumn
HasConfigurations
setConvergenceMode
DSVRGD
setCorpusLength
FreqStatsTransformer
setCustomEval
XGBoostClassifier XGBoostRegressor
setCustomEvaluation
XGBoostClassifier XGBoostRegressor
setCustomObj
XGBoostClassifier XGBoostRegressor
setCustomObjective
XGBoostClassifier XGBoostRegressor
setDefaultLanguage
LanguageAwareAnalyzer
setDelimiter
FreqStatsTransformer
setDensifyInput
OkXGBoostParams
setDeployMode
ForkedSparkEstimator
setDescending
OrderedCut OrderedCutEstimator
setDim
RandomProjectionsHasher
setDimensions
VectorStatCollector
setElasticNetParam
DSVRGD LogisticRegressionLBFSG LinearRegression
setEnableDive
ForkedEstimator
setEpsilon
LinearRegression
setEpsilonGreedy
StochasticHyperopt
setErrorColumn
HasConfigurations
setEstimatorParamMaps
GridSearch
setEta
XGBoostClassifier XGBoostRegressor
setEvalMetric
XGBoostClassifier XGBoostRegressor
setExpectedNumberOfSamples
CRRSamplerEstimator
setExpectedRecords
DynamicDownsamplerTrainer OrderedCutEstimator
setExponentBase
ExponentialVectorDiscountTransformer
setExponentScale
ExponentialVectorDiscountTransformer
setExtraColumns
PartitionedRankingEvaluator
setExtractExpression
MetricsExtractor
setFeatureCol
RandomForestClassifier XGBoostClassifier XGBoostRegressor
setFeatureSubsetStrategy
RandomForestClassifier
setFeaturesCol
FoldedFeaturesStatsAggregator Interceptor LinearRegression
setFitIntercept
LinearRegression
setFmeasureThresholds
BinaryClassificationEvaluator
setGamma
XGBoostClassifier XGBoostRegressor
setGroupByColumn
NaNToMeanReplacerParams
setGroupByColumns
HasGroupByColumns
setGroupSampleRate
CRRSamplerParams
setGrowPolicy
XGBoostClassifier XGBoostRegressor
setHandleInvalid
QuantileDiscretizer
setImpurity
RandomForestClassifier
setInputCol
MultinominalExtractorParams NaNToMeanReplacerParams QuantileDiscretizer VectorStatCollector LanguageDetectorTransformer NGramExtractor RandomProjectionsHasher RegexpReplaceTransformer URLElimminator
setInputColHash
HashBasedDeduplicator
setInputColLang
LanguageAwareAnalyzer
setInputColText
LanguageAwareAnalyzer
setInputColVector
HashBasedDeduplicator
setInputCols
NameAssigner NullToNaNVectorAssembler QuantileDiscretizer
setInputDataCol
FreqStatsTransformer
setInputFreqColName
EWStatsTransformer
setInputTermColName
EWStatsTransformer
setIsotonic
IsotonicRegression
setItemSampleRate
CRRSamplerParams
setJoinColExpr
Joiner
setJoinType
Joiner
setLabel
ScoreLabel
setLabelCol
RandomForestClassifier XGBoostClassifier LinearRegression
setLabelColumn
Evaluator SamplerParams
setLabelNameCol
PartitionedRankingEvaluator
setLabelThreshold
PartitionedRankingEvaluator
setLambda
XGBoostClassifier XGBoostRegressor
setLambdaBias
XGBoostClassifier XGBoostRegressor
setLanguagePriors
LanguageDetectorTransformer
setLastIsIntercept
DSVRGD
setLearningRate
DSVRGD
setLocalMinibatchSize
DSVRGD
setLoss
LinearRegression
setLowerN
NGramExtractor
setMainJar
ForkedSparkEstimator
setMaster
ForkedSparkEstimator
setMaterializeCached
UnwrappedStage CachingTransformer
setMaxBeens
XGBoostClassifier XGBoostRegressor
setMaxBins
RandomForestClassifier XGBoostClassifier XGBoostRegressor
setMaxDeltaStep
XGBoostClassifier XGBoostRegressor
setMaxDepth
RandomForestClassifier XGBoostClassifier XGBoostRegressor
setMaxIter
DSVRGD LogisticRegressionLBFSG StochasticHyperopt LinearRegression
setMaxMemoryInMB
RandomForestClassifier
setMaxNoImproveIters
StochasticHyperopt
setMaxPartitions
DynamicPartitionerTrainer
setMeans
NaNToMeanReplacerModel
setMetrics
PartitionedRankingEvaluator
setMetricsBlock
HyperparametersOptimizer
setMetricsExpression
HyperparametersOptimizer
setMinChildWeight
XGBoostClassifier XGBoostRegressor
setMinConfidence
LanguageDetectorTransformer
setMinInfoGain
RandomForestClassifier
setMinInstancesPerNode
RandomForestClassifier
setMinPartitions
DynamicPartitionerTrainer
setMinSignificance
SignificantFeatureSelector
setMissing
XGBoostClassifier XGBoostRegressor
setModelThreshold
PartitionedRankingEvaluator
setName
ForkedSparkEstimator
setNanReplacement
StochasticHyperopt
setNewEWStructColName
EWStatsTransformer
setNewWordsEWMA
EWStatsTransformer
setNormalizeType
XGBoostClassifier XGBoostRegressor
setNthread
XGBoostClassifier XGBoostRegressor
setNumBuckets
QuantileDiscretizer
setNumBucketsArray
QuantileDiscretizer
setNumClass
XGBoostClassifier
setNumEarlyStoppingRounds
XGBoostClassifier XGBoostRegressor
setNumFolds
HasFolds
setNumFoldsColumn
HasFolds
setNumPartitions
ExponentialVectorDiscountTransformer PartitioningTransformer VectorStatCollector
setNumRound
XGBoostClassifier XGBoostRegressor
setNumRounds
XGBoostClassifier XGBoostRegressor
setNumShufflePartitions
VectorStatCollector
setNumThreads
HasNumThreads
setNumTrees
RandomForestClassifier
setNumWorkers
XGBoostClassifier XGBoostRegressor
setObjective
XGBoostClassifier XGBoostRegressor
setObjectiveType
XGBoostClassifier XGBoostRegressor
setOldEWStructColName
EWStatsTransformer
setOldTermColName
EWStatsTransformer
setOldTimestampColName
EWStatsTransformer
setOutputCol
AutoAssemblerParams MultinominalExtractorParams NaNToMeanReplacerParams NullToNaNVectorAssembler PartitionedRankingEvaluator QuantileDiscretizer LanguageAwareAnalyzer LanguageDetectorTransformer NGramExtractor RandomProjectionsHasher RegexpReplaceTransformer URLElimminator
setOutputColFreq
FreqStatsTransformer
setOutputColTerm
FreqStatsTransformer
setOutputCols
QuantileDiscretizer
setOverwriteModels
ForkedEstimator
setParamDomains
StochasticHyperopt
setParamNames
HyperparametersOptimizer
setPartitionBy
FoldsAssigner PartitioningParams PersistingTransformer
setPath
CollectSummaryToParquetTransformer
setPathForTempModels
ForkedEstimator
setPercentage
SamplerParams
setPercentiles
VectorStatCollector
setPreInitIntercept
LogisticRegressionLBFSG
setPredictAsDouble
OkXGBoostParams
setPredictVector
LinearCombinationModel MatrixLBFGS
setPredictionCol
XGBoostClassifier CombinedModel PerClassModelLearner PerTypeModelLearner XGBoostRegressor LinearRegression
setPredictionColumn
Evaluator
setPredictionIndex
BinaryClassificationEvaluator
setPriorAlpha
LanguageDetectorTransformer
setPriorsContextFilter
StochasticHyperopt
setPriorsPath
StochasticHyperopt
setPriorsToSample
StochasticHyperopt
setPropagateConfig
ForkedSparkEstimator
setPropagatedKeyColumn
ForkedModelParams
setRDataFrame
Joiner
setRankingPower
CRRSamplerParams
setRateDrop
XGBoostClassifier XGBoostRegressor
setRecordsPerPartition
DynamicPartitionerTrainer
setRegParam
DSVRGD LinearRegressionSGD LogisticRegressionLBFSG MatrixLBFGS LinearRegression
setRegexpPattern
RegexpReplaceTransformer
setRegexpReplacement
RegexpReplaceTransformer
setRegularizeLast
HasRegularizeLast
setRelativeError
QuantileDiscretizer
setReplacements
MultinominalExtractorParams
setResultingMetricColumn
HasConfigurations
setSafePositive
SamplerParams
setSampleType
XGBoostClassifier XGBoostRegressor
setSaveInputCols
ColumnsExtractor
setScalePosWeight
XGBoostClassifier XGBoostRegressor
setScore
ScoreLabel
setSearchMode
StochasticHyperopt
setSeed
RandomForestClassifier XGBoostClassifier XGBoostRegressor StochasticHyperopt
setShufflerToPartitions
CRRSamplerParams
setSilent
XGBoostClassifier XGBoostRegressor
setSimilarityTreshold
HashBasedDeduplicator
setSketchEps
XGBoostClassifier XGBoostRegressor
setSkipDrop
XGBoostClassifier XGBoostRegressor
setSlowDownFactor
DSVRGD
setSolver
LinearRegression
setSortBy
PartitioningParams
setSortByColumn
OrderedCut OrderedCutEstimator
setSortByColumns
HasSortByColumns
setSparsity
RandomProjectionsHasher
setSpeedUpFactor
DSVRGD
setStandardization
LinearRegression
setStorageLevel
CachingTransformer
setStoreVocabInMetadata
OdklCountVectorizerParams
setSubmitArgs
ForkedSparkEstimator
setSubsample
XGBoostClassifier XGBoostRegressor
setSubsamplingRate
RandomForestClassifier
setSuppressConfigs
ForkedSparkEstimator
setTempPath
ForkedSparkEstimator PersistingTransformer
setTestSetExpression
CrossValidator
setThroughOrigin
RegressionEvaluator
setTimeNow
ExponentialVectorDiscountTransformer
setTimeoutRequestWorkers
XGBoostClassifier XGBoostRegressor
setTimestampColName
EWStatsTransformer
setTimestampColumn
ExponentialVectorDiscountTransformer
setTimestampColumnName
FreqStatsTransformer
setTol
DSVRGD LogisticRegressionLBFSG StochasticHyperopt LinearRegression
setTopK
TopKTransformer
setTopKForTolerance
StochasticHyperopt
setTrackerConf
XGBoostClassifier XGBoostRegressor
setTrainTestRatio
XGBoostClassifier XGBoostRegressor
setTrainTestRation
XGBoostClassifier XGBoostRegressor
setTreeMethod
XGBoostClassifier XGBoostRegressor
setTresholdArr
FreqStatsTransformer
setTypeColumn
HasTypeCol
setUncacheInput
PersistingTransformer
setUntil
BitSet
setUpperN
NGramExtractor
setUseExternalMemory
XGBoostClassifier XGBoostRegressor
setValueCol
VectorExplode
setValues
MultinominalExtractorParams
setValuesToIgnore
MultinominalExtractor
setVectorColumn
ExponentialVectorDiscountTransformer
setVectorsSize
ExponentialVectorDiscountTransformer
setVocabAttrGroupName
OdklCountVectorizerParams
setWeightCol
XGBoostClassifier XGBoostRegressor LinearRegression
setWhere
SqlFilter
setWithMean
ScalerParams
setWithReplacement
SamplerParams
setWithStd
ScalerParams
setWithTimestamp
FreqStatsTransformer
shrink
SliceSampler
shuffleToPartitions
CRRSamplerParams
sig
EWStruct
significance
HasFeaturesSignificance WeightsStatRecord
similarityThreshold
HashBasedDeduplicator
singleStep
DSVRGD
size
CompactBuffer OpenHashMap OpenHashSet
slowDownFactor
DSVRGD
sortBy
CompactBuffer PartitioningParams
sortByColumn
OrderedCut OrderedCutEstimator
sortByColumns
HasSortByColumns
sorted
CompactBuffer
spark
scala analysis apache
sparkModule
JacksonParam
sparsity
RandomProjectionsHasher
speedUpFactor
DSVRGD
sql
spark
stage
OptimizerStage
stageNameColumnName
GroupedSearch
stageReversedIndexColumnName
GroupedSearch
start
MlFlowReproContext ReproContext SimpleReproContext
stats
breeze WeightsStat
stdDev
HasFeaturesSignificance WeightsStatRecord
stemmString
LanguageAwareStemmerUtil
stemmTextUDF
LanguageAwareAnalyzer
step
MetricInfo
stepOut
SliceSampler
storageLevel
CachingTransformer
storeVocabInMetadata
OdklCountVectorizerParams
submitArgs
ForkedSparkEstimator
summary
ModelWithSummary
summaryExtractor
MLWrapper
summaryParam
ModelWithSummary
suppressConfig
ForkedSparkEstimator