def test_network_attrs(self): network = Backpropagation((2, 2, 1)) network.step = 0.1 network.bias = True network.error = lambda x: x network.shuffle_data = True with self.assertRaises(TypeError): network.step = '33' with self.assertRaises(TypeError): network.use_bias = 123 with self.assertRaises(TypeError): network.error = 'not a function' with self.assertRaises(TypeError): network.shuffle_data = 1
def test_network_attrs(self): network = Backpropagation((2, 2, 1), verbose=False) network.step = 0.1 network.bias = True network.error = lambda x: x network.shuffle_data = True with self.assertRaises(TypeError): network.step = '33' with self.assertRaises(TypeError): network.use_bias = 123 with self.assertRaises(TypeError): network.error = 'not a function' with self.assertRaises(TypeError): network.shuffle_data = 1