def transform(self,X):
if self.tsupdate:
Cr = riemann.mean_covariance(X,metric=self.metric)
else:
Cr = self.Cr
return riemann.tangent_space(X,Cr)
def transform(self, X):
if self.tsupdate:
Cr = riemann.mean_covariance(X, metric=self.metric)
else:
Cr = self.Cr
return riemann.tangent_space(X, Cr)
def fit_transform(self,X,y=None):
# compute mean covariance
self.Cr = riemann.mean_covariance(X,metric=self.metric)
return riemann.tangent_space(X,self.Cr)
def fit_transform(self, X, y=None):
# compute mean covariance
self.Cr = riemann.mean_covariance(X, metric=self.metric)
return riemann.tangent_space(X, self.Cr)
