impute.py 文件源码

def _gaus_condition(self, xi):

        if np.ma.count_masked(xi) == 0:
            return xi

        a = xi.mask
        b = ~xi.mask

        xb = xi[b].data
        Laa = self.prec[np.ix_(a, a)]
        Lab = self.prec[np.ix_(a, b)]

        xfill = np.empty_like(xi)
        xfill[b] = xb
        xfill[a] = self.mean[a] - solve(Laa, Lab.dot(xb - self.mean[b]))
        return xfill