#NEWLINE# def _cov_eigen( self , X ) : #NEWLINE# #INDENT# '\n        Compute covariance matrix eigen{values,vectors} via Singular Value\n        Decomposition (SVD).\n\n        Parameters\n        ----------\n        X : WRITEME\n\n        Returns\n        -------\n        WRITEME\n        ' #NEWLINE# ( U , s , Vh ) = linalg . svd ( X , full_matrices = False ) #NEWLINE# return ( ( s ** 2 ) , Vh . T )