def test_covariances():
"""Test fit Covariances"""
x = np.random.randn(2, 3, 100)
cov = Covariances()
cov.fit(x)
cov.fit_transform(x)
assert_equal(cov.get_params(), dict(estimator='scm'))
def test_covariances():
"""Test fit Covariances"""
x = np.random.randn(2, 3, 100)
cov = Covariances()
cov.fit(x)
cov.fit_transform(x)
assert_equal(cov.get_params(), dict(estimator='scm'))
def test_covariances(estimator, rndstate):
"""Test Covariances"""
n_matrices, n_channels, n_times = 2, 3, 100
x = rndstate.randn(n_matrices, n_channels, n_times)
cov = Covariances(estimator=estimator)
cov.fit(x)
covmats = cov.fit_transform(x)
assert cov.get_params() == dict(estimator=estimator)
assert covmats.shape == (n_matrices, n_channels, n_channels)
assert is_spd(covmats)
