Function test_sigmoid_activation

numpy_ml/tests/test_nn_activations.py:96–110

(N=50)

def test_sigmoid_activation(N=50):
    from numpy_ml.neural_nets.activations import Sigmoid

    N = np.inf if N is None else N

    mine = Sigmoid()
    gold = expit

    i = 0
    while i < N:
        n_dims = np.random.randint(1, 100)
        z = random_tensor((1, n_dims))
        assert_almost_equal(mine.fn(z), gold(z))
        print("PASSED")
        i += 1


def test_softplus_activation(N=50):