def test_combiner_empty_separate():
combiner = Combiner()
bins = combiner.fit_transform(df, 'target', n_bins = 4, empty_separate = True)
mask = pd.isna(df['D'])
assert (bins['D'][~mask] != 4).all()
'[8 ~ inf)': 400,
'nan': 500,
},
'B': {
','.join(list('ABCD')): 200,
','.join(list('EF')): 400,
'else': 500,
},
'C': {
'A': 200,
'B': 100,
},
}
combiner = Combiner()
bins = combiner.fit_transform(df, target, n_bins=5)
woe_transer = WOETransformer()
woe = woe_transer.fit_transform(bins, target)
# create a score card
card = ScoreCard(
combiner=combiner,
transer=woe_transer,
)
card.fit(woe, target)
FUZZ_THRESHOLD = 1e-4
TEST_SCORE = pytest.approx(453.58, FUZZ_THRESHOLD)
def test_proba_to_score():
