def test_saga_score(): X, y = make_classification(1000, random_state=0) pysaga = PySAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1, penalty=None, random_state=0) saga = SAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1, penalty=None, random_state=0) pysaga.fit(X, y) saga.fit(X, y) assert_equal(pysaga.score(X, y), saga.score(X, y))