def test_set_params(self, teardown):
step = LogisticRegression()
new_params_wrong = {"non_existent_param": 42}
with pytest.raises(ValueError):
step.set_params(**new_params_wrong)
new_params = {"C": 100.0, "fit_intercept": False, "penalty": "l1"}
step.set_params(**new_params)
params = step.get_params()
expected = {
"C": 100.0,
"class_weight": None,
"dual": False,
"fit_intercept": False,
"intercept_scaling": 1,
"max_iter": 100,
"multi_class": "warn",
"n_jobs": None,
"penalty": "l1",
"random_state": None,
"solver": "warn",
"tol": 0.0001,
"verbose": 0,
"warm_start": False,
"l1_ratio": None,
}
assert expected == params
def test_get_params(self, teardown):
step = LogisticRegression()
params = step.get_params()
expected = {
"C": 1.0,
"class_weight": None,
"dual": False,
"fit_intercept": True,
"intercept_scaling": 1,
"max_iter": 100,
"multi_class": "warn",
"n_jobs": None,
"penalty": "l2",
"random_state": None,
"solver": "warn",
"tol": 0.0001,
"verbose": 0,
"warm_start": False,
"l1_ratio": None,
}
assert expected == params
