lore_sa.bbox
AbstractBBox
lore_sa.dataset
Dataset
TabularDataset
prepare_bank_dataset()
lore_sa.neighgen
RandomGenerator
GeneticGenerator
lore_sa.discretizer
Discretizer
RMEPDiscretizer
lore_sa.encoder_decoder
EncDec
OneHotEnc
LabelEnc
TabularEnc
lore_sa.explanation
Explanation
ExplanationEncoder
ImageExplanation
MultilabelExplanation
TextExplanation
json2explanation()
lore_sa.rule
Rule
RuleEncoder
json2rule()
json2expression()
Expression
lore_sa.surrogate
Surrogate
DecisionTreeSurrogate
lore_sa.util
best_fit_distribution()
sigmoid()
vector2dict()
Generic surrogate class
Methods
__init__([kind, preprocessing])
__init__
get_counterfactual_rules(x, class_name, ...)
get_counterfactual_rules
get_rule(x, dataset[, encdec])
get_rule
train(Z, Yb, weights)
train