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)