多变量概率演算库
Prob的Python项目详细描述
probby是一个python库，其目标是通过提供一个抽象来简化离散多变量概率分布的计算，即数据是如何存储的以及分布之间的操作是如何执行的。
The library can be used in the implementation of many algorithms such as Bayes Theorem, Bayesian Inference algorithms like Variable Elimination, Gibbs Ask (MCMC), HMMs implementations, Information Theory, etc.
Currently, there are implementation for Bayesian and Markov Networks with some inference algorithms implemented.
For more information check the GitHub page at: https://github.com/petermlm/ProbPy.
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