A B C D E F G H I L M O P R S T W _
All Classes All Packages

A

apply(Double, Integer) - Method in interface category_encoders.MeanEncoder.MeanFunction

B

BaseEncoder - Class in category_encoders

BaseEncoder(String, String) - Constructor for class category_encoders.BaseEncoder

baseEncodeValues(Map<?, Integer>, int, int) - Static method in class category_encoders.BaseNEncoder

BaseNEncoder - Class in category_encoders

BaseNEncoder(String, String) - Constructor for class category_encoders.BaseNEncoder

BaseNFeature - Class in category_encoders

BaseNFeature(PMMLEncoder, String, DataType, int, int, SetMultimap<Integer, ?>, Object, Integer) - Constructor for class category_encoders.BaseNFeature

BaseNFeature(PMMLEncoder, Field<?>, int, int, SetMultimap<Integer, ?>, Object, Integer) - Constructor for class category_encoders.BaseNFeature

BaseNFeature(PMMLEncoder, Feature, int, int, SetMultimap<Integer, ?>, Object, Integer) - Constructor for class category_encoders.BaseNFeature

BinaryEncoder - Class in category_encoders

BinaryEncoder(String, String) - Constructor for class category_encoders.BinaryEncoder

BinnedFeature - Class in optbinning

BinnedFeature(PMMLEncoder, String, DataType, List<?>, List<Predicate>) - Constructor for class optbinning.BinnedFeature

BinnedFeature(PMMLEncoder, DerivedField, List<?>, List<Predicate>) - Constructor for class optbinning.BinnedFeature

BinningProcess - Class in optbinning

BinningProcess(String, String) - Constructor for class optbinning.BinningProcess

boruta - package boruta

BorutaPy - Class in boruta

BorutaPy(String, String) - Constructor for class boruta.BorutaPy

C

CatBoostEncoder - Class in category_encoders

CatBoostEncoder(String, String) - Constructor for class category_encoders.CatBoostEncoder

category_encoders - package category_encoders

CATEGORY_MISSING - Static variable in class optbinning.OptimalBinning

CATEGORY_NAN - Static variable in class category_encoders.BaseEncoder

CATEGORY_SPECIAL - Static variable in class optbinning.OptimalBinning

CATEGORY_UNKNOWN - Static variable in class category_encoders.OrdinalEncoder

CategoryEncoderUtil - Class in category_encoders

checkFeatures(List<? extends Feature>) - Method in class pycaret.preprocess.TransformerWrapper

checkIncreasingOrder(List<Number>) - Static method in class optbinning.OptimalBinningUtil

CleanColumnNames - Class in pycaret.preprocess

CleanColumnNames(String, String) - Constructor for class pycaret.preprocess.CleanColumnNames

ContinuousOptimalBinning - Class in optbinning

ContinuousOptimalBinning(String, String) - Constructor for class optbinning.ContinuousOptimalBinning

CountEncoder - Class in category_encoders

CountEncoder(String, String) - Constructor for class category_encoders.CountEncoder

createFunction() - Method in class category_encoders.CatBoostEncoder

createFunction() - Method in class category_encoders.LeaveOneOutEncoder

createFunction() - Method in class category_encoders.MeanEncoder

D

delProjVecs() - Method in class sktree.tree.ObliqueTree

E

encode(List<Feature>, SkLearnEncoder) - Method in class category_encoders.BinaryEncoder

encodeExplainableBooster(E, Schema) - Static method in class interpret.glassbox.ebm.ExplainableBoostingUtil

encodeFeatures(Object, List<Feature>, ProjectionManager, SkLearnEncoder) - Method in class sktree.tree.ObliqueTree

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.BaseNEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.CountEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.MeanEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.OneHotEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.OrdinalEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class category_encoders.OrdinalMapEncoder

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class optbinning.BinningProcess

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class optbinning.OptimalBinning

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.pipeline.PyCaretPipeline

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.preprocess.RareCategoryGrouping

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.preprocess.RemoveMulticollinearity

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.preprocess.RemoveOutliers

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.preprocess.TransformerWrapper

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class pycaret.preprocess.TransformerWrapperWithInverse

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklego.meta.EstimatorTransformer

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class tpot.builtins.StackingEstimator

encodeLabel(List<String>, SkLearnEncoder) - Method in class optbinning.scorecard.Scorecard

encodeLabel(List<String>, SkLearnEncoder) - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

encodeModel(PredicateManager, ScoreDistributionManager, ProjectionManager, Schema) - Method in class sktree.tree.ObliqueDecisionTreeClassifier

encodeModel(PredicateManager, ProjectionManager, Schema) - Method in class sktree.tree.ObliqueDecisionTreeRegressor

encodeModel(Schema) - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

encodeModel(Schema) - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

encodeModel(Schema) - Method in class interpret.glassbox.GlassboxClassifier

encodeModel(Schema) - Method in class interpret.glassbox.GlassboxRegressor

encodeModel(Schema) - Method in class optbinning.scorecard.Scorecard

encodeModel(Schema) - Method in class pycaret.pipeline.PyCaretPipeline

encodeModel(Schema) - Method in class sklego.meta.OrdinalClassifier

encodeModel(Schema) - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

encodeModel(Schema) - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestClassifier

encodeModel(Schema) - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestRegressor

encodeModel(Schema) - Method in class sktree.tree.ObliqueDecisionTreeClassifier

encodeModel(Schema) - Method in class sktree.tree.ObliqueDecisionTreeRegressor

encodeObliqueForest(E, MiningFunction, Segmentation.MultipleModelMethod, Schema) - Static method in class sktree.ensemble.supervised_forest.ObliqueForestUtil

encodePMML() - Method in class category_encoders.BaseEncoder

encodePMML() - Method in class hpsklearn.HyperoptEstimator

encodePMML() - Method in class pycaret.pipeline.PyCaretPipeline

ensureCategory(List<E>, E) - Static method in class optbinning.OptimalBinningUtil

equals(Object) - Method in class category_encoders.BaseNFeature

equals(Object) - Method in class category_encoders.MapFeature

EstimatorTransformer - Class in sklego.meta

EstimatorTransformer(String, String) - Constructor for class sklego.meta.EstimatorTransformer

ExplainableBoostingClassifier - Class in interpret.glassbox.ebm

ExplainableBoostingClassifier(String, String) - Constructor for class interpret.glassbox.ebm.ExplainableBoostingClassifier

ExplainableBoostingRegressor - Class in interpret.glassbox.ebm

ExplainableBoostingRegressor(String, String) - Constructor for class interpret.glassbox.ebm.ExplainableBoostingRegressor

ExplainableBoostingUtil - Class in interpret.glassbox.ebm

ExtendedIsolationForest - Class in sktree.ensemble.eiforest

ExtendedIsolationForest(String, String) - Constructor for class sktree.ensemble.eiforest.ExtendedIsolationForest

F

FEATURETYPE_CONTINUOUS - Static variable in interface interpret.glassbox.ebm.HasExplainableBooster

FEATURETYPE_NOMINAL - Static variable in interface interpret.glassbox.ebm.HasExplainableBooster

FixImbalancer - Class in pycaret.preprocess

FixImbalancer(String, String) - Constructor for class pycaret.preprocess.FixImbalancer

functionName() - Method in class category_encoders.CatBoostEncoder

functionName() - Method in class category_encoders.CountEncoder

functionName() - Method in class category_encoders.LeaveOneOutEncoder

functionName() - Method in class category_encoders.MapEncoder

functionName() - Method in class category_encoders.TargetEncoder

functionName() - Method in class category_encoders.WOEEncoder

G

getA() - Method in class category_encoders.CatBoostEncoder

getBase() - Method in class category_encoders.BaseNEncoder

getBase() - Method in class category_encoders.BaseNFeature

getBaseNEncoder() - Method in class category_encoders.BinaryEncoder

getBestLearner() - Method in class hpsklearn.HyperoptEstimator

getBestLearner(Class<? extends E>) - Method in class hpsklearn.HyperoptEstimator

getBestPreprocs() - Method in class hpsklearn.HyperoptEstimator

getBinnedVariables() - Method in class optbinning.BinningProcess

getBinningFitParams() - Method in class optbinning.BinningProcess

getBinningProcess() - Method in class optbinning.scorecard.Scorecard

getBinningTransformParams() - Method in class optbinning.BinningProcess

getBins() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getBins() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getBins() - Method in interface interpret.glassbox.ebm.HasExplainableBooster

getCategoriesIn() - Method in class optbinning.OptimalBinning

getCategoriesOut() - Method in class optbinning.ContinuousOptimalBinning

getCategoriesOut() - Method in class optbinning.MulticlassOptimalBinning

getCategoriesOut() - Method in class optbinning.OptimalBinning

getCategoryMapping() - Method in class category_encoders.OrdinalEncoder.Mapping

getClasses() - Method in class interpret.glassbox.GlassboxClassifier

getClasses() - Method in class optbinning.scorecard.Scorecard

getCols() - Method in class category_encoders.BaseEncoder

getDataType() - Method in class category_encoders.BaseEncoder

getDataType() - Method in class pycaret.preprocess.RareCategoryGrouping

getDataType() - Method in class pycaret.preprocess.RemoveMulticollinearity

getDataType() - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestClassifier

getDataType() - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestRegressor

getDataType() - Method in class sktree.tree.ObliqueDecisionTreeClassifier

getDataType() - Method in class sktree.tree.ObliqueDecisionTreeRegressor

getDefaultMetric() - Method in class optbinning.ContinuousOptimalBinning

getDefaultMetric() - Method in class optbinning.MulticlassOptimalBinning

getDefaultMetric() - Method in class optbinning.OptimalBinning

getDefaultValue() - Method in class category_encoders.BaseNFeature

getDefaultValue() - Method in class category_encoders.CountEncoder

getDefaultValue() - Method in class category_encoders.MapFeature

getDerivedName() - Method in class category_encoders.BaseNFeature

getDerivedName() - Method in class category_encoders.MapFeature

getDFScorecard() - Method in class optbinning.scorecard.Scorecard

getDrop() - Method in class pycaret.preprocess.RemoveMulticollinearity

getDropInvariant() - Method in class category_encoders.BaseEncoder

getDropInvariant() - Method in class category_encoders.BaseNEncoder

getDType() - Method in class optbinning.OptimalBinning

getEstimator() - Method in class optbinning.scorecard.Scorecard

getEstimator() - Method in class pycaret.preprocess.RemoveOutliers

getEstimator() - Method in class sklego.meta.EstimatorTransformer

getEstimator() - Method in class sklego.meta.OrdinalClassifier

getEstimator() - Method in class tpot.builtins.StackingEstimator

getEstimator(Class<? extends E>) - Method in class sklego.meta.EstimatorTransformer

getEstimators() - Method in class sklego.meta.OrdinalClassifier

getEstimators() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

getEstimators() - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestClassifier

getEstimators() - Method in class sktree.ensemble.supervised_forest.ObliqueRandomForestRegressor

getEstimatorsFeatures() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

getExclude() - Method in class pycaret.preprocess.TransformerWrapper

getFeatureNames() - Method in class pycaret.preprocess.TransformerWrapper

getFeatureNamesOut() - Method in class category_encoders.BaseEncoder

getFeatureTypesIn() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getFeatureTypesIn() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getFeatureTypesIn() - Method in interface interpret.glassbox.ebm.HasExplainableBooster

getField() - Method in class optbinning.BinnedFeature

getFinalEstimator() - Method in class hpsklearn.HyperoptEstimator

getFinalEstimator(Class<? extends E>) - Method in class hpsklearn.HyperoptEstimator

getHandleMissing() - Method in class category_encoders.BaseEncoder

getHandleMissing() - Method in class category_encoders.CountEncoder

getHandleMissing() - Method in class category_encoders.OneHotEncoder

getHandleUnknown() - Method in class category_encoders.BaseEncoder

getHandleUnknown() - Method in class category_encoders.CountEncoder

getHead() - Method in class hpsklearn.HyperoptEstimator

getInclude() - Method in class pycaret.preprocess.TransformerWrapper

getIndex() - Method in class category_encoders.BaseNFeature

getIntercept() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getIntercept() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getIntercept() - Method in class optbinning.scorecard.Scorecard

getInvariantCols() - Method in class category_encoders.BaseEncoder

getLink() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getLink() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getMapping() - Method in class category_encoders.MapEncoder

getMapping() - Method in class category_encoders.MapFeature

getMapping() - Method in class category_encoders.MeanEncoder

getMapping() - Method in class category_encoders.OrdinalEncoder

getMaxSamples() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

getMean() - Method in class category_encoders.MeanEncoder

getMetric() - Method in class optbinning.OptimalBinning

getMinGroupCategories() - Method in class category_encoders.CountEncoder

getMiningFunction() - Method in class optbinning.scorecard.Scorecard

getMissingCategory() - Method in class category_encoders.BaseNFeature

getMissingCategory() - Method in class category_encoders.MapFeature

getMissingValue() - Method in class category_encoders.BaseNFeature

getMissingValue() - Method in class category_encoders.MapFeature

getNodeCount() - Method in class sktree.tree.ObliqueTree

getNormalize() - Method in class category_encoders.CountEncoder

getNumberOfClasses() - Method in class optbinning.MulticlassOptimalBinning

getNumberOfEvents() - Method in class optbinning.MulticlassOptimalBinning

getNumberOfEvents() - Method in class optbinning.OptimalBinning

getNumberOfFeatures() - Method in class pycaret.pipeline.PyCaretPipeline

getNumberOfFeatures() - Method in class pycaret.preprocess.TransformerWrapper

getNumberOfFeatures() - Method in class tpot.builtins.StackingEstimator

getNumberOfNonEvents() - Method in class optbinning.OptimalBinning

getNumberOfOutputs() - Method in class optbinning.scorecard.Scorecard

getNumberOfOutputs() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

getNumberOfRecords() - Method in class optbinning.ContinuousOptimalBinning

getOffset() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

getOpType() - Method in class category_encoders.BaseEncoder

getOpType() - Method in class pycaret.preprocess.RareCategoryGrouping

getOpType() - Method in class pycaret.preprocess.RemoveMulticollinearity

getOrCreateFeature(String, List<Feature>, List<Number>, SkLearnEncoder) - Method in class sktree.tree.ProjectionManager

getOrdinalEncoder() - Method in class category_encoders.BaseNEncoder

getOrdinalEncoder() - Method in class category_encoders.OneHotEncoder

getOrdinalEncoder() - Method in class category_encoders.OrdinalMapEncoder

getPostPredictFunc() - Method in class sklego.meta.EstimatorTransformer

getPredicates() - Method in class optbinning.BinnedFeature

getPredictFunc() - Method in class sklego.meta.EstimatorTransformer

getPrePredictFunc() - Method in class sklego.meta.EstimatorTransformer

getProjVecs() - Method in class sktree.tree.ObliqueTree

getScalingMethod() - Method in class optbinning.scorecard.Scorecard

getSkModel() - Method in class interpret.glassbox.GlassboxClassifier

getSkModel() - Method in class interpret.glassbox.GlassboxRegressor

getSpecialCodes() - Method in class optbinning.OptimalBinning

getSplitsOptimal() - Method in class optbinning.OptimalBinning

getSums() - Method in class optbinning.ContinuousOptimalBinning

getSupport() - Method in class boruta.BorutaPy

getSupport() - Method in class optbinning.BinningProcess

getSupportedMetrics() - Method in class optbinning.ContinuousOptimalBinning

getSupportedMetrics() - Method in class optbinning.MulticlassOptimalBinning

getSupportedMetrics() - Method in class optbinning.OptimalBinning

getSupportMask() - Method in class boruta.BorutaPy

getTargetName() - Method in class pycaret.preprocess.TransformerWrapper

getTermFeatures() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getTermFeatures() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getTermFeatures() - Method in interface interpret.glassbox.ebm.HasExplainableBooster

getTermScores() - Method in class interpret.glassbox.ebm.ExplainableBoostingClassifier

getTermScores() - Method in class interpret.glassbox.ebm.ExplainableBoostingRegressor

getTermScores() - Method in interface interpret.glassbox.ebm.HasExplainableBooster

getToOther() - Method in class pycaret.preprocess.RareCategoryGrouping

getTrainOnly() - Method in class pycaret.preprocess.TransformerWrapper

getTransformer() - Method in class pycaret.preprocess.TransformerWrapper

getTransformer() - Method in class pycaret.preprocess.TransformerWrapperWithInverse

getTransformers() - Method in class hpsklearn.HyperoptEstimator

getTransformers() - Method in class pycaret.pipeline.PyCaretPipeline

getTree() - Method in class sktree.tree.ObliqueDecisionTreeClassifier

getTree() - Method in class sktree.tree.ObliqueDecisionTreeRegressor

getValue() - Method in class pycaret.preprocess.RareCategoryGrouping

getValues() - Method in class category_encoders.BaseNFeature

getValues(Predicate<Number>) - Method in class category_encoders.BaseNFeature

getValues(Predicate<Number>) - Method in class category_encoders.MapFeature

getVariableDTypes() - Method in class optbinning.BinningProcess

getVariableNames() - Method in class optbinning.BinningProcess

getVariableStats() - Method in class optbinning.BinningProcess

GlassboxClassifier - Class in interpret.glassbox

GlassboxClassifier(String, String) - Constructor for class interpret.glassbox.GlassboxClassifier

GlassboxRegressor - Class in interpret.glassbox

GlassboxRegressor(String, String) - Constructor for class interpret.glassbox.GlassboxRegressor

H

HasExplainableBooster - Interface in interpret.glassbox.ebm

hasFinalEstimator() - Method in class hpsklearn.HyperoptEstimator

hashCode() - Method in class category_encoders.BaseNFeature

hashCode() - Method in class category_encoders.MapFeature

hasMissingValueSupport() - Method in class sktree.tree.ObliqueDecisionTreeClassifier

hasMissingValueSupport() - Method in class sktree.tree.ObliqueDecisionTreeRegressor

hasProbabilityDistribution() - Method in class interpret.glassbox.GlassboxClassifier

hasProbabilityDistribution() - Method in class optbinning.scorecard.Scorecard

hasProjVecs() - Method in class sktree.tree.ObliqueTree

hasTransformers() - Method in class hpsklearn.HyperoptEstimator

hpsklearn - package hpsklearn

HyperoptEstimator - Class in hpsklearn

HyperoptEstimator(String, String) - Constructor for class hpsklearn.HyperoptEstimator

I

imblearn - package imblearn

imblearn.pipeline - package imblearn.pipeline

ImbLearnPipeline - Class in imblearn.pipeline

ImbLearnPipeline(String, String) - Constructor for class imblearn.pipeline.ImbLearnPipeline

initializeFeatures(SkLearnEncoder) - Method in class optbinning.BinningProcess

initializeFeatures(SkLearnEncoder) - Method in class pycaret.preprocess.TransformerWrapper

interpret.glassbox - package interpret.glassbox

interpret.glassbox.ebm - package interpret.glassbox.ebm

isSupervised() - Method in class optbinning.scorecard.Scorecard

isSupervised() - Method in class sktree.ensemble.eiforest.ExtendedIsolationForest

L

LeaveOneOutEncoder - Class in category_encoders

LeaveOneOutEncoder(String, String) - Constructor for class category_encoders.LeaveOneOutEncoder

M

MapEncoder - Class in category_encoders

MapEncoder(String, String) - Constructor for class category_encoders.MapEncoder

mapEncodeValues(Map<K, Integer>, Map<Integer, V>) - Static method in class category_encoders.OrdinalMapEncoder

MapFeature - Class in category_encoders

MapFeature(PMMLEncoder, String, DataType, Map<?, ? extends Number>, Object, Number) - Constructor for class category_encoders.MapFeature

MapFeature(PMMLEncoder, Field<?>, Map<?, ? extends Number>, Object, Number) - Constructor for class category_encoders.MapFeature

MapFeature(PMMLEncoder, Feature, Map<?, ? extends Number>, Object, Number) - Constructor for class category_encoders.MapFeature

MeanEncoder - Class in category_encoders

MeanEncoder(String, String) - Constructor for class category_encoders.MeanEncoder

MeanEncoder.MeanFunction - Interface in category_encoders

MulticlassOptimalBinning - Class in optbinning

MulticlassOptimalBinning(String, String) - Constructor for class optbinning.MulticlassOptimalBinning

O

ObliqueDecisionTreeClassifier - Class in sktree.tree

ObliqueDecisionTreeClassifier(String, String) - Constructor for class sktree.tree.ObliqueDecisionTreeClassifier

ObliqueDecisionTreeClassifier(ObliqueDecisionTreeClassifier) - Constructor for class sktree.tree.ObliqueDecisionTreeClassifier

ObliqueDecisionTreeRegressor - Class in sktree.tree

ObliqueDecisionTreeRegressor(String, String) - Constructor for class sktree.tree.ObliqueDecisionTreeRegressor

ObliqueDecisionTreeRegressor(ObliqueDecisionTreeRegressor) - Constructor for class sktree.tree.ObliqueDecisionTreeRegressor

ObliqueForestUtil - Class in sktree.ensemble.supervised_forest

ObliqueRandomForestClassifier - Class in sktree.ensemble.supervised_forest

ObliqueRandomForestClassifier(String, String) - Constructor for class sktree.ensemble.supervised_forest.ObliqueRandomForestClassifier

ObliqueRandomForestRegressor - Class in sktree.ensemble.supervised_forest

ObliqueRandomForestRegressor(String, String) - Constructor for class sktree.ensemble.supervised_forest.ObliqueRandomForestRegressor

ObliqueSplitter - Class in sktree.tree

ObliqueSplitter(String, String) - Constructor for class sktree.tree.ObliqueSplitter

ObliqueTree - Class in sktree.tree

ObliqueTree(String, String) - Constructor for class sktree.tree.ObliqueTree

ObliqueTree(ObliqueTree) - Constructor for class sktree.tree.ObliqueTree

OneHotEncoder - Class in category_encoders

OneHotEncoder(String, String) - Constructor for class category_encoders.OneHotEncoder

optbinning - package optbinning

optbinning.scorecard - package optbinning.scorecard

OptimalBinning - Class in optbinning

OptimalBinning(String, String) - Constructor for class optbinning.OptimalBinning

OptimalBinningUtil - Class in optbinning

OrdinalClassifier - Class in sklego.meta

OrdinalClassifier(String, String) - Constructor for class sklego.meta.OrdinalClassifier

OrdinalEncoder - Class in category_encoders

OrdinalEncoder(String, String) - Constructor for class category_encoders.OrdinalEncoder

OrdinalEncoder.Mapping - Class in category_encoders

OrdinalMapEncoder - Class in category_encoders

OrdinalMapEncoder(String, String) - Constructor for class category_encoders.OrdinalMapEncoder

P

ProjectionManager - Class in sktree.tree

ProjectionManager() - Constructor for class sktree.tree.ProjectionManager

pycaret.pipeline - package pycaret.pipeline

pycaret.preprocess - package pycaret.preprocess

PyCaretPipeline - Class in pycaret.pipeline

PyCaretPipeline(String, String) - Constructor for class pycaret.pipeline.PyCaretPipeline

R

RareCategoryGrouping - Class in pycaret.preprocess

RareCategoryGrouping(String, String) - Constructor for class pycaret.preprocess.RareCategoryGrouping

refreshLabel(Label, SkLearnEncoder) - Method in class pycaret.pipeline.PyCaretPipeline

RemoveMulticollinearity - Class in pycaret.preprocess

RemoveMulticollinearity(String, String) - Constructor for class pycaret.preprocess.RemoveMulticollinearity

RemoveOutliers - Class in pycaret.preprocess

RemoveOutliers(String, String) - Constructor for class pycaret.preprocess.RemoveOutliers

S

Sampler - Class in imblearn

Sampler(String, String) - Constructor for class imblearn.Sampler

Scorecard - Class in optbinning.scorecard

Scorecard(String, String) - Constructor for class optbinning.scorecard.Scorecard

setMetric(String) - Method in class optbinning.OptimalBinning

sklego.meta - package sklego.meta

sktree.ensemble.eiforest - package sktree.ensemble.eiforest

sktree.ensemble.supervised_forest - package sktree.ensemble.supervised_forest

sktree.tree - package sktree.tree

StackingEstimator - Class in tpot.builtins

StackingEstimator(String, String) - Constructor for class tpot.builtins.StackingEstimator

sumExact(Collection<Integer>) - Static method in class optbinning.OptimalBinningUtil

T

TargetEncoder - Class in category_encoders

TargetEncoder(String, String) - Constructor for class category_encoders.TargetEncoder

toContinuousFeature() - Method in class category_encoders.BaseNFeature

toContinuousFeature() - Method in class category_encoders.MapFeature

toTransformedMap(Map<?, ?>, Function<Object, K>, Function<Object, V>) - Static method in class category_encoders.CategoryEncoderUtil

tpot.builtins - package tpot.builtins

transform(Schema) - Method in class sktree.tree.ObliqueTree

TransformerWrapper - Class in pycaret.preprocess

TransformerWrapper(String, String) - Constructor for class pycaret.preprocess.TransformerWrapper

TransformerWrapperWithInverse - Class in pycaret.preprocess

TransformerWrapperWithInverse(String, String) - Constructor for class pycaret.preprocess.TransformerWrapperWithInverse

transformSchema(Object, ProjectionManager, Schema) - Method in class sktree.tree.ObliqueTree

W

WOEEncoder - Class in category_encoders

WOEEncoder(String, String) - Constructor for class category_encoders.WOEEncoder

_

__init__(Object[]) - Method in class sktree.tree.ObliqueSplitter

A B C D E F G H I L M O P R S T W _
All Classes All Packages