贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型

				function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence)
				% CPD_TO_PI Compute the pi vector (gaussian)
				% function pi = CPD_to_pi(CPD, msg_type, n, ps, msg, evidence)
				
				switch msg_type
				 case 'd',
				  error('gaussian_CPD can''t create discrete msgs')
				 case 'g',
				  dps = ps(CPD.dps);
				  k = evidence{dps};
				  if isempty(k)
				    error('gmux node must have observed discrete parent')
				  end
				  m = msg{n}.pi_from_parent{k}; 
				  B = CPD.weights(:,:,k);
				  pi.mu = CPD.mean(:,k) + B * m.mu;
				  pi.Sigma = CPD.cov(:,:,k) + B * m.Sigma * B';
				end