

def test_compare_bp_and_hessian(self):
    (x_train, x_test, y_train, y_test) = simple_classification()
    compare_networks(algorithms.GradientDescent, partial(algorithms.Hessian, penalty_const=1), (x_train, y_train, x_train, y_test), connection=(10, 15, 1), shuffle_data=True, verbose=False, show_epoch=1, epochs=5, show_comparison_plot=False)

dataset/ETHPy150Open itdxer/neupy/tests/algorithms/gd/test_hessian.py HessianTestCase.test_compare_bp_and_hessian/VarMisuse@46/72 `x_test`->`x_train`