{"name":"py311-pymc","portdir":"python/py-pymc","version":"5.28.5","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":true,"categories":["python"],"maintainers":[{"name":"reneeotten","github":"reneeotten","ports_count":2179}],"variants":[],"dependencies":[{"type":"build","ports":["py311-build","py311-installer","py311-setuptools","py311-wheel","py311-versioneer","clang-18"]},{"type":"lib","ports":["py311-threadpoolctl","py311-cloudpickle","py311-rich","py311-arviz","py311-pytensor","python311","py311-typing_extensions","py311-numpy","py311-cachetools","py311-pandas","py311-scipy"]},{"type":"test","ports":["py311-pytest"]}],"depends_on":[]}