{"name":"py37-pymc","portdir":"python/py-pymc","version":"4.1.7","license":"Apache-2","platforms":"darwin","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-14"]},{"type":"lib","ports":["py37-arviz","py37-cachetools","py37-cloudpickle","py37-fastprogress","py37-numpy","py37-scipy","py37-typing_extensions","py37-aeppl","py37-aesara","python37"]},{"type":"test","ports":["py37-pytest"]}],"depends_on":[]}