程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network

用python语言实现了常用的概率算法，非常建议本科生在学习概率论的时候跑一跑这些算法，养成贝叶斯思维-Using python language commonly used probabilistic algorithms, highly recommended undergraduate study in probability theory, when these algorithms run a race, to develop Bayesian thinking