def test_estimator_param_raises():
class Dummy(sklearn.base.BaseEstimator):
def __init__(self, estimator=42):
self.estimator = estimator
def fit(self, X):
return self
clf = Incremental(Dummy(estimator=1))
with pytest.raises(ValueError, match='used by both'):
clf.get_params()
def test_set_params():
clf = Incremental(SGDClassifier())
clf.set_params(**{"scoring": "accuracy", "estimator__max_iter": 20})
result = clf.get_params()
assert result["estimator__max_iter"] == 20
assert result["scoring"] == "accuracy"
def test_set_params():
clf = Incremental(SGDClassifier())
clf.set_params(**{'scoring': 'accuracy', 'estimator__max_iter': 20})
result = clf.get_params()
assert result['estimator__max_iter'] == 20
assert result['scoring'] == 'accuracy'
def test_get_params():
clf = Incremental(SGDClassifier())
result = clf.get_params()
assert "estimator__max_iter" in result
assert result["scoring"] is None