def test_Cospcovariances():
"""Test fit CospCovariances"""
x = np.random.randn(2, 3, 1000)
cov = CospCovariances()
cov.fit(x)
cov.fit_transform(x)
assert_equal(cov.get_params(),
dict(window=128, overlap=0.75, fmin=None, fmax=None, fs=None))
def test_Cospcovariances():
"""Test fit CospCovariances"""
x = np.random.randn(2, 3, 1000)
cov = CospCovariances()
cov.fit(x)
cov.fit_transform(x)
assert_equal(cov.get_params(), dict(window=128, overlap=0.75, fmin=None,
fmax=None, fs=None))
def test_cosp_covariances(rndstate):
"""Test fit CospCovariances"""
n_matrices, n_channels, n_times = 2, 3, 1000
x = rndstate.randn(n_matrices, n_channels, n_times)
cov = CospCovariances()
cov.fit(x)
covmats = cov.transform(x)
assert cov.get_params() == dict(window=128,
overlap=0.75,
fmin=None,
fmax=None,
fs=None)
n_freqs = 65
assert covmats.shape == (n_matrices, n_channels, n_channels, n_freqs)
assert is_spsd(covmats.transpose(0, 3, 1, 2))
def test_Cospcovariances():
"""Test fit CospCovariances"""
x = np.random.randn(2, 3, 1000)
cov = CospCovariances()
cov.fit(x)
cov.fit_transform(x)
def test_Cospcovariances():
"""Test fit CospCovariances"""
x = np.random.randn(2,3,1000)
cov = CospCovariances()
cov.fit(x)
cov.fit_transform(x)
