CRRSamplerEstimator

odkl

CRRSamplerModel

odkl

CRRSamplerParams

CachingTransformer

CategorialParam

ClassPathExpression

CollateOrder

CollectAsList

CollectAsSet

CollectStruct

PartitionedRankingEvaluator

CollectSummaryToParquetTransformer

UnwrappedStage

CollectSummaryTransformer

UnwrappedStage

CollectionOperations

collection

ColumnsExtractor

odkl

CombinedLinearModelUnwrappedFeatureSelector

odkl

CombinedModel

odkl

CompactBuffer

collection

CompositScaleEstimator

ConfigHolder

ConfigNumber

CrossValidator

cache

cacheAndMaterialize

cacheRdd

cacheTrainData

cacheTransformed

capacity

cardinality

changeValue

choleskyInverse

choleskySolve

classPathPropagations

ForkedSparkEstimator

classes

MultiClassCombinationModelBase

classesColumn

HasClassesCol

classesMap

PerClassModelLearner

classesToIgnore

PerClassModelLearner

classesWeights

HasClassesWeights LinearCombinationModel

classification

ml

clean

SparkUtils

clear

BitSet

cmp

TopKTransformer TopKUDAF

coefficients

collectAsList

collectAsSet

collectSummary

collectSummaryToParquet

UnwrappedStage

collection

util

columnAttributeMap

HasColumnAttributeMap

columnMetadata

ColumnsExtractor

columnStatements

ColumnsExtractor

columnToOrderGroupsBy

columnToSortByIndex

columnsToExclude

columnsToInclude

columnsToKeep

ProjectingTransformer

columnsToRemove

ProjectingTransformer

com

root

comeUp

ReproContext

compression

ExtendedMultivariateOnlineSummarizer VectorStatCollector

computeGradient

MatrixLBFGS

computeGradientAndLoss

MatrixLBFGS

computeGradientMatrix

MatrixLBFGS

confOverrides

ForkedSparkEstimator

config

ConfigHolder ConfigNumber

configurationIndexColumn

HasConfigurations

configurations

HasConfigurations

constructMetadata

FoldedFeaturesStatsAggregator PartitionedRankingEvaluator

consumeFork

ForkSource

contains

OpenHashMap OpenHashSet

context

MLFlowClient MLFlowRootClient

convergenceMode

DSVRGD

convertMetadata

GenericFeatureSelector

convertObservations

EvaluationFunction

copy

RandomForestClassifier XGBoostClassifier AutoAssembler BinaryClassificationEvaluator CRRSamplerEstimator CRRSamplerModel ColumnsExtractor CombinedLinearModelUnwrappedFeatureSelector LinearCombinationModelLearner MultiClassModelLearner PerTypeModelLearner CompositScaleEstimator CrossValidator FoldsAssigner DSVRGD Evaluator EmptyEvaluator EvaluatingTransformer PostProcessingEvaluator TrainOnlyFilter TrainTestEvaluator ExponentialVectorDiscountTransformer FoldedFeaturesStatsAggregator ForkedSparkEstimator HasNetlibBlas Interceptor Uninterceptor UninterceptorComposite LinearCombinationModel LinearEstimator LinearModelSignificantFeatureSelector LinearModelUnwrappedFeatureSelector LinearRegressor LinearScaleEstimator MLWrapper MLWrapperModel MatrixLBFGS ModelSummary ModelWithSummary MultiClassCombinationModel MultinominalExtractor MultinominalExtractorModel NaNToMeanReplacerEstimator NaNToMeanReplacerModel NameAssigner NullToDefaultReplacer NullToNaNVectorAssembler PartitionedRankingEvaluator PipelinedSignificantFeatureSelector QuantileDiscretizer RegressionEvaluator Unscaler SelectingModel SqlFilter SummarizableEstimator TopKTransformer UnwrappedStage CachingTransformer CollectSummaryToParquetTransformer CollectSummaryTransformer DynamicDataTransformerTrainer DynamicDownsamplerTrainer DynamicPartitionerTrainer IdentityDataTransformer IdentityModelTransformer NoTrainEstimator OrderedCut OrderedCutEstimator PartitioningTransformer PersistingTransformer ProjectingTransformer SamplingTransformer VectorExplode VectorStatCollector XGBoostRegressor GridSearch GroupedSearch HyperparametersOptimizer StochasticHyperopt EWStatsTransformer FreqStatsTransformer HashBasedDeduplicator Joiner LanguageAwareAnalyzer LanguageDetectorTransformer NGramExtractor RandomProjectionsHasher RegexpReplaceTransformer URLElimminator LinearRegression

corpusLen

FreqStatsTransformer

count

HasFeaturesSignificance WeightsStatRecord

countDistinctIf

PartitionedRankingEvaluator

countDistinctIfAt

PartitionedRankingEvaluator

countDistinctRelevantIf

PartitionedRankingEvaluator

countDistinctRelevantIfAt

PartitionedRankingEvaluator

countIf

PartitionedRankingEvaluator

countIfAt

PartitionedRankingEvaluator

countRelevantIf

PartitionedRankingEvaluator

countRelevantIfAt

PartitionedRankingEvaluator

counterSample

CRRSamplerModel

create

RfClassificationModelWrapper XGClassificationModelWrapper CombinedLinearModelUnwrappedFeatureSelector CombinedModel LinearModelUnwrappedFeatureSelector LinearRegressionModel LogisticRegressionModel MLWrapperModel ModelWithSummary PipelinedFeatureSelector XGRegressionModelWrapper BayesianParamOptimizerFactory

createConfigDF

StochasticHyperopt

createConfigurationsBlock

HyperparametersOptimizer

createForkSource

ForkedEstimator GroupedSearch StochasticHyperopt

createForks

PerClassModelLearner PerTypeModelLearner CrossValidator ForkedEstimator GridSearch GroupedSearch StochasticHyperopt

createModel

LinearModelSignificantFeatureSelector LinearRegressionSGD LinearRegressor LogisticRegressionLBFSG PipelinedSignificantFeatureSelector SignificantFeatureSelector

createOptimizer

LinearRegressionSGD LinearRegressor LogisticRegressionLBFSG

createPredictionMetadata

CombinedModel LinearCombinationModel MultiClassCombinationModelBase SelectingModel

createResult

createWeightsSummary

criteria

crossValidate

customUDF