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