def test_distance_logdet_implementation(get_covmats):
n_matrices, n_channels = 2, 6
covmats = get_covmats(n_matrices, n_channels)
A, B = covmats[0], covmats[1]
dist = np.sqrt(
np.log(np.linalg.det((A + B) / 2.0)) -
0.5 * np.log(np.linalg.det(A) * np.linalg.det(B)))
assert distance_logdet(A, B) == approx(dist)
def test_distance_generic_logdet():
"""Test logdet distance for generic function"""
A = 2*np.eye(3)
B = 2*np.eye(3)
assert_equal(distance(A, B, metric='logdet'), distance_logdet(A, B))
def test_distance_logdet():
"""Test logdet distance"""
A = 2*np.eye(3)
B = 2*np.eye(3)
assert_equal(distance_logdet(A, B), 0)
def test_distance_generic_logdet():
"""Test logdet distance for generic function"""
A = 2 * np.eye(3)
B = 2 * np.eye(3)
assert_equal(distance(A, B, metric='logdet'), distance_logdet(A, B))
def test_distance_logdet():
"""Test logdet distance"""
A = 2 * np.eye(3)
B = 2 * np.eye(3)
assert_equal(distance_logdet(A, B), 0)
def test_distance_logdet():
"""Test logdet distance"""
A = 2 * np.eye(3)
B = 2 * np.eye(3)
assert distance_logdet(A, B) == 0