{"name":"py38-pymc","portdir":"python/py-pymc","version":"5.6.1","license":"Apache-2","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/pymc-devs/pymc","description":"Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara","long_description":"PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.","active":false,"categories":["python"],"maintainers":[{"name":"reneeotten","github":"reneeotten","ports_count":2112}],"variants":[],"dependencies":[{"type":"build","ports":["clang-15"]},{"type":"lib","ports":["py38-arviz","py38-cachetools","py38-cloudpickle","py38-fastprogress","py38-numpy","py38-pandas","py38-scipy","py38-typing_extensions","py38-pytensor","python38"]},{"type":"test","ports":["py38-pytest"]}],"depends_on":[]}