{"name":"py313-pymc","portdir":"python/py-pymc","version":"5.28.3","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":2106}],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py313-build","py313-installer","py313-setuptools","py313-wheel","py313-versioneer"]},{"type":"lib","ports":["py313-pandas","py313-cloudpickle","python313","py313-arviz","py313-pytensor","py313-rich","py313-typing_extensions","py313-numpy","py313-scipy","py313-threadpoolctl","py313-cachetools"]}],"depends_on":[]}