output.py 文件源码

def posterior_cov(self):
        """
        Computes posterior covariance from the samples drawn from posterior distribution

        Returns
        -------
        np.ndarray
            posterior covariance        
        """
        endp = len(self.parameters) - 1
        endw = len(self.weights) - 1

        params = self.parameters[endp]
        weights = self.weights[endw]

        return np.cov(np.transpose(params), aweights = weights.reshape(len(weights),))