def test_default_fit_transform_no_selected_variables():
selection_criteria = {"quality_score": {"min": 0.99}}
process = BinningProcess(variable_names,
selection_criteria=selection_criteria)
X_transform = process.fit_transform(X, y, metric="event_rate")
assert X_transform == approx(np.empty(0).reshape((X.shape[0], 0)))
def test_default_fit_transform():
process = BinningProcess(variable_names)
X_transform = process.fit_transform(X, y, metric="event_rate")
optb = OptimalBinning()
x = X[:, 5]
optb.fit(x, y)
assert optb.transform(x, metric="event_rate") == approx(X_transform[:, 5],
rel=1e-6)