Extract WOE Encoder Mappings

get_woe_mappings.py

import category_encoders as ce

categoric_features = ['a', 'b', 'c']

woe_encoder = ce.WOEEncoder(cols=categoric_features)
woe_encoder.fit(X[categorics], y)

def get_woe_value(feature):
    for map in woe_encoder.ordinal_encoder.mapping:
        if map['col'] == feature:
            return dict(map['mapping'])

for cat in categoric_features:
    print(f"{cat} mapping:")
    feature_mapping_original_ordinal = get_woe_value(cat)
    feature_mapping_ordinal_woe = dict(woe_encoder.mapping[cat])

    for conteudo_original, ordinal_encoded_value in feature_mapping_original_ordinal.items():
        print(f"Original value: {conteudo_original}  |  Encoded WOE value: {feature_mapping_ordinal_woe[ordinal_encoded_value]}")

    print("\n")