A B C D E F G H I L M O P S T W

A

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

B

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, 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

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

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

BinningProcess - Class in optbinning

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

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.CategoryEncoder

CATEGORY_SPECIAL - Static variable in class optbinning.OptimalBinning

CATEGORY_UNKNOWN - Static variable in class category_encoders.OrdinalEncoder

CategoryEncoder - Class in category_encoders

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

CategoryEncoderUtil - Class in category_encoders

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

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

DenseTransformer - Class in mlxtend.preprocessing

DenseTransformer(String, String) - Constructor for class mlxtend.preprocessing.DenseTransformer

E

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

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

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 imblearn.Sampler

encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class mlxtend.preprocessing.DenseTransformer

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.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 sklego.preprocessing.IdentityTransformer

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

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

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

F

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

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

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 optbinning.scorecard.Scorecard

getCols() - Method in class category_encoders.CategoryEncoder

getDataType() - Method in class category_encoders.CategoryEncoder

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

getDropInvariant() - Method in class category_encoders.CategoryEncoder

getDType() - Method in class optbinning.OptimalBinning

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

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

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

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

getFeatureNames() - Method in class category_encoders.BaseNEncoder

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

getField() - Method in class optbinning.BinnedFeature

getHandleMissing() - Method in class category_encoders.CategoryEncoder

getHandleUnknown() - Method in class category_encoders.CategoryEncoder

getHandleUnknown() - Method in class category_encoders.CountEncoder

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

getIndex() - Method in class category_encoders.BaseNFeature

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

getInvariantCols() - Method in class category_encoders.CategoryEncoder

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

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

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 tpot.builtins.StackingEstimator

getNumberOfNonEvents() - Method in class optbinning.OptimalBinning

getNumberOfRecords() - Method in class optbinning.ContinuousOptimalBinning

getOpType() - Method in class category_encoders.CategoryEncoder

getOrdinalEncoder() - Method in class category_encoders.BaseNEncoder

getOrdinalEncoder() - Method in class category_encoders.OneHotEncoder

getOrdinalEncoder() - Method in class category_encoders.OrdinalMapEncoder

getPredicates() - Method in class optbinning.BinnedFeature

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

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

getSpecialCodes() - Method in class optbinning.OptimalBinning

getSplitsOptimal() - Method in class optbinning.OptimalBinning

getSums() - Method in class optbinning.ContinuousOptimalBinning

getSupport() - Method in class optbinning.BinningProcess

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

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

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

getValues() - 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

H

hashCode() - Method in class category_encoders.BaseNFeature

hashCode() - Method in class category_encoders.MapFeature

I

IdentityTransformer - Class in sklego.preprocessing

IdentityTransformer(String, String) - Constructor for class sklego.preprocessing.IdentityTransformer

imblearn - package imblearn

initializeFeatures(SkLearnEncoder) - Method in class optbinning.BinningProcess

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

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, 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

MapFeature(PMMLEncoder, String, DataType, 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

mlxtend.preprocessing - package mlxtend.preprocessing

MulticlassOptimalBinning - Class in optbinning

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

O

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

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

pycaret.preprocess - package pycaret.preprocess

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

sklego.preprocessing - package sklego.preprocessing

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

toStringHelper() - Method in class category_encoders.BaseNFeature

toStringHelper() - 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

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

W

WOEEncoder - Class in category_encoders

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

A B C D E F G H I L M O P S T W