local_transition.py 文件源码

def _cov_and_inv(self, n, indices):
        """
        Calculate covariance around local support vector
        and also the inverse
        """
        cov = self._cov(indices, n)
        det = la.det(cov)
        while det <= 0:
            cov += sp.identity(cov.shape[0]) * self.EPS
            det = la.det(cov)
        inv_cov = la.inv(cov)
        return cov, inv_cov, det