treetime/gtr.py
def _eig(self):
        """
        Perform eigendecompositon of the rate matrix and stores the left- and right-
        matrices to convert the sequence profiles to the GTR matrix eigenspace
        and hence to speed-up the computations.
        """
        # eigendecomposition of the rate matrix
        eigvals, eigvecs = np.linalg.eig(self.Q)
        self.v = np.real(eigvecs)
        self.v_inv = np.linalg.inv(self.v)
        self.eigenvals = np.real(eigvals)
def _eig(self):
        """
        Perform eigendecompositon of the rate matrix and stores the left- and right-
        matrices to convert the sequence profiles to the GTR matrix eigenspace
        and hence to speed-up the computations.
        """
        # eigendecomposition of the rate matrix
        eigvals, eigvecs = np.linalg.eig(self.Q)
        self.v = np.real(eigvecs)
        self.v_inv = np.linalg.inv(self.v)
        self.eigenvals = np.real(eigvals)
def _eig ( self ) : # eigendecomposition of the rate matrix eigvals , eigvecs = np . linalg . eig ( self . Q ) self . v = np . real ( eigvecs ) self . v_inv = np . linalg . inv ( self . v ) self . eigenvals = np . real ( eigvals )
Perform eigendecompositon of the rate matrix and stores the left- and right-
        matrices to convert the sequence profiles to the GTR matrix eigenspace
        and hence to speed-up the computations.
Perform eigendecompositon of the rate matrix and stores the left - and right - matrices to convert the sequence profiles to the GTR matrix eigenspace and hence to speed - up the computations .