def test_TangentSpace_inversetransform_without_fit():
"""Test inverse transform of Tangent Space without fit."""
covset = generate_cov(10, 3)
ts = TangentSpace(metric='identity')
tsv = ts.fit_transform(covset)
ts = TangentSpace(metric='riemann')
cov = ts.inverse_transform(tsv)
assert_array_almost_equal(covset, cov)
def transform(self, X):
"""
Detect and remove dropped.
"""
features = []
for x in X:
ts = TangentSpace(metric=self.metric)
tmp = ts.fit_transform(x.transpose(2, 0, 1))
features.append(tmp.ravel())
features = np.array(features)
return features
def transform(self, X):
"""
Detect and remove dropped.
"""
features = []
for x in X:
ts = TangentSpace(metric=self.metric)
tmp = ts.fit_transform(x.transpose(2, 0, 1))
features.append(tmp.ravel())
features = np.array(features)
return features
