Index
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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, 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
C
- CatBoostEncoder - Class in category_encoders
- CatBoostEncoder(String, String) - Constructor for class category_encoders.CatBoostEncoder
- category_encoders - package category_encoders
- CATEGORY_NAN - Static variable in class category_encoders.CategoryEncoder
- 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
- 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 sklego.meta.EstimatorTransformer
- encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class sklego.preprocessing.IdentityTransformer
- encodeFeatures(List<Feature>, SkLearnEncoder) - Method in class tpot.builtins.StackingEstimator
- 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
- getCategoryMapping() - Method in class category_encoders.OrdinalEncoder.Mapping
- getCols() - Method in class category_encoders.CategoryEncoder
- getDataType() - Method in class category_encoders.CategoryEncoder
- 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
- getDropCols() - Method in class category_encoders.CategoryEncoder
- getDropInvariant() - Method in class category_encoders.CategoryEncoder
- getEstimator() - Method in class sklego.meta.EstimatorTransformer
- getEstimator() - Method in class tpot.builtins.StackingEstimator
- getFeatureNames() - Method in class category_encoders.BaseNEncoder
- getHandleMissing() - Method in class category_encoders.CategoryEncoder
- getHandleUnknown() - Method in class category_encoders.CategoryEncoder
- getHandleUnknown() - Method in class category_encoders.CountEncoder
- getIndex() - Method in class category_encoders.BaseNFeature
- 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
- getMinGroupCategories() - Method in class category_encoders.CountEncoder
- 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
- getNumberOfFeatures() - Method in class tpot.builtins.StackingEstimator
- 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
- getPredictFunc() - Method in class sklego.meta.EstimatorTransformer
- 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
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
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
- mlxtend.preprocessing - package mlxtend.preprocessing
O
- OneHotEncoder - Class in category_encoders
- OneHotEncoder(String, String) - Constructor for class category_encoders.OneHotEncoder
- 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
S
- Sampler - Class in imblearn
- Sampler(String, String) - Constructor for class imblearn.Sampler
- sklego.meta - package sklego.meta
- sklego.preprocessing - package sklego.preprocessing
- StackingEstimator - Class in tpot.builtins
- StackingEstimator(String, String) - Constructor for class tpot.builtins.StackingEstimator
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
W
- WOEEncoder - Class in category_encoders
- WOEEncoder(String, String) - Constructor for class category_encoders.WOEEncoder
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