ProbPy 1.2

Description:

ProbPy 1.2

ProbPy is a Python library that aims at simplifying calculations with
discrete multi variable probabilistic distributions by offering an abstraction
over how data is stored and how the operations between distributions are
performed.
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.
Hosted at GitHub: https://github.com/petermlm/ProbPy.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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