quic_graph_lasso_test.py 文件源码

def test_integration_quic_graph_lasso_cv(self, params_in, expected):
        '''
        Just tests inputs/outputs (not validity of result).
        '''
        X = datasets.load_diabetes().data
        ic = QuicGraphLassoCV(**params_in)
        ic.fit(X)

        result_vec = [
            np.linalg.norm(ic.covariance_),
            np.linalg.norm(ic.precision_),
            np.linalg.norm(ic.opt_),
            np.linalg.norm(ic.duality_gap_),
        ]
        if isinstance(ic.lam_, float):
            result_vec.append(ic.lam_)
        elif isinstance(ic.lam_, np.ndarray):
            assert ic.lam_.shape == params_in['lam'].shape

        print(result_vec)
        assert_allclose(expected, result_vec, atol=1e-1, rtol=1e-1)

        assert len(ic.grid_scores) == len(ic.cv_lams_)