def test_zero(self):
x = np.zeros((2, 3))
s1 = hoyer_sparseness(x)
self.assertEqual(s1, 1.)
def test_is_0_on_flat(self):
x = np.ones((1, 4))
self.assertAlmostEqual(hoyer_sparseness(x), 0.)
def test_is_1_on_spike(self):
x = np.zeros((1, 4))
x[0, 2] = 10.
self.assertEqual(hoyer_sparseness(x), 1.)
def test_is_in_0_1(self):
x = np.random.random((5, 7))
s = hoyer_sparseness(x)
assert(np.all(0 <= s <= 1))
def test_axis(self):
x = np.array([[1, 1],
[0, 0]])
s1 = hoyer_sparseness(x, axis=0)
self.assertEqual(s1, 1.)
def test_zero(self):
x = np.zeros((2, 3))
s1 = hoyer_sparseness(x)
self.assertEqual(s1, 1.)
def test_is_1_on_spike(self):
x = np.zeros((1, 4))
x[0, 2] = 10.
self.assertEqual(hoyer_sparseness(x), 1.)
def test_is_0_on_flat(self):
x = np.ones((1, 4))
self.assertAlmostEqual(hoyer_sparseness(x), 0.)
def test_axis(self):
x = np.array([[1, 1], [0, 0]])
s1 = hoyer_sparseness(x, axis=0)
self.assertEqual(s1, 1.)
def test_is_in_0_1(self):
x = np.random.random((5, 7))
s = hoyer_sparseness(x)
assert (np.all(0 <= s <= 1))