fuzzy-rough-learn
0.2.2
Documentation
fuzzy-rough-learn API
Examples
Classifiers
Data descriptors
Preprocessors
Additional Information
Release history
fuzzy-rough-learn
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Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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Q
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R
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S
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T
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V
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W
A
ALP (class in frlearn.data_descriptors)
ALP.Model (class in frlearn.data_descriptors)
B
BallTree (class in frlearn.neighbour_search_methods)
BallTree.Model (class in frlearn.neighbour_search_methods)
C
CD (class in frlearn.data_descriptors)
CD.Model (class in frlearn.data_descriptors)
ConstantWeights (class in frlearn.weights)
contract() (in module frlearn.transformations)
D
div_or() (in module frlearn.array_functions)
E
EIF (class in frlearn.data_descriptors)
EIF.Model (class in frlearn.data_descriptors)
ExponentialWeights (class in frlearn.weights)
F
first() (in module frlearn.array_functions)
FRFS (class in frlearn.feature_preprocessors)
FRFS.Model (class in frlearn.feature_preprocessors)
FRNN (class in frlearn.classifiers)
(class in frlearn.regressors)
FRNN.Model (class in frlearn.classifiers)
(class in frlearn.regressors)
FRONEC (class in frlearn.classifiers)
FRONEC.Model (class in frlearn.classifiers)
FROVOCO (class in frlearn.classifiers)
FROVOCO.Model (class in frlearn.classifiers)
FRPS (class in frlearn.instance_preprocessors)
G
goguen_t_norm() (in module frlearn.t_norms)
greatest() (in module frlearn.array_functions)
H
heyting_t_norm() (in module frlearn.t_norms)
I
IF (class in frlearn.data_descriptors)
IF.Model (class in frlearn.data_descriptors)
interquartile_range() (in module frlearn.dispersion_measures)
IQRNormaliser (class in frlearn.feature_preprocessors)
IQRNormaliser.Model (class in frlearn.feature_preprocessors)
K
KDTree (class in frlearn.neighbour_search_methods)
KDTree.Model (class in frlearn.neighbour_search_methods)
L
last() (in module frlearn.array_functions)
least() (in module frlearn.array_functions)
LinearNormaliser (class in frlearn.feature_preprocessors)
LinearNormaliser.Model (class in frlearn.feature_preprocessors)
LinearWeights (class in frlearn.weights)
LNND (class in frlearn.data_descriptors)
LNND.Model (class in frlearn.data_descriptors)
LOF (class in frlearn.data_descriptors)
LOF.Model (class in frlearn.data_descriptors)
log_multiple() (in module frlearn.parametrisations)
lukasiewicz_t_norm() (in module frlearn.t_norms)
M
MaxAbsNormaliser (class in frlearn.feature_preprocessors)
MaxAbsNormaliser.Model (class in frlearn.feature_preprocessors)
maximum() (in module frlearn.location_measures)
maximum_absolute_value() (in module frlearn.dispersion_measures)
MD (class in frlearn.data_descriptors)
MD.Model (class in frlearn.data_descriptors)
mean() (in module frlearn.location_measures)
median() (in module frlearn.location_measures)
midhinge() (in module frlearn.location_measures)
midrange() (in module frlearn.location_measures)
minimum() (in module frlearn.location_measures)
MinkowskiSize (class in frlearn.vector_size_measures)
multiple() (in module frlearn.parametrisations)
N
NND (class in frlearn.data_descriptors)
NND.Model (class in frlearn.data_descriptors)
Q
QuantifierWeights (class in frlearn.weights)
query (frlearn.classifiers.FRNN.Model property)
(frlearn.classifiers.FRONEC.Model property)
(frlearn.classifiers.FROVOCO.Model property)
(frlearn.data_descriptors.ALP.Model property)
(frlearn.data_descriptors.CD.Model property)
(frlearn.data_descriptors.EIF.Model property)
(frlearn.data_descriptors.IF.Model property)
(frlearn.data_descriptors.LNND.Model property)
(frlearn.data_descriptors.LOF.Model property)
(frlearn.data_descriptors.MD.Model property)
(frlearn.data_descriptors.NND.Model property)
(frlearn.data_descriptors.SVM.Model property)
(frlearn.neighbour_search_methods.BallTree.Model property)
(frlearn.neighbour_search_methods.KDTree.Model property)
(frlearn.regressors.FRNN.Model property)
query_self() (frlearn.neighbour_search_methods.BallTree.Model method)
(frlearn.neighbour_search_methods.KDTree.Model method)
R
RangeNormaliser (class in frlearn.feature_preprocessors)
RangeNormaliser.Model (class in frlearn.feature_preprocessors)
ReciprocallyLinearWeights (class in frlearn.weights)
remove_diagonal() (in module frlearn.array_functions)
S
shifted_reciprocal() (in module frlearn.transformations)
soft_head() (in module frlearn.array_functions)
soft_max() (in module frlearn.array_functions)
soft_min() (in module frlearn.array_functions)
soft_tail() (in module frlearn.array_functions)
standard_deviation() (in module frlearn.dispersion_measures)
Standardiser (class in frlearn.feature_preprocessors)
Standardiser.Model (class in frlearn.feature_preprocessors)
SVM (class in frlearn.data_descriptors)
SVM.Model (class in frlearn.data_descriptors)
T
total_range() (in module frlearn.dispersion_measures)
transform (frlearn.feature_preprocessors.FRFS.Model property)
(frlearn.feature_preprocessors.IQRNormaliser.Model property)
(frlearn.feature_preprocessors.LinearNormaliser.Model property)
(frlearn.feature_preprocessors.MaxAbsNormaliser.Model property)
(frlearn.feature_preprocessors.RangeNormaliser.Model property)
(frlearn.feature_preprocessors.Standardiser.Model property)
(frlearn.feature_preprocessors.VectorSizeNormaliser.Model property)
truncated_complement() (in module frlearn.transformations)
V
VectorSizeNormaliser (class in frlearn.feature_preprocessors)
VectorSizeNormaliser.Model (class in frlearn.feature_preprocessors)
W
Weights (class in frlearn.weights)