f, k = self.fets_eval.get_corr_pred( sctx, u[ix_(ix)], tn, tn1 )#self.K_temp.data[:][:] = 0.self.K_temp = sparse.lil_matrix((ndofs, ndofs), float_ ) a =0foriinix: self.K_temp.rows[i] = ix self.K_temp.data[i][:] = k[a][:] a =+1#print K_tempself.K...
= n_samples):raiseValueError('Wrong shape for connectivity matrix: %s ''when X is %s'% (connectivity.shape, X.shape))# Make the connectivity matrix symmetric:connectivity = connectivity + connectivity.T# Convert connectivity matrix to LILifnotsparse.isspmatrix_lil(connectivity):ifnotsparse...