Bayesian statistical modeling and Probabilistic Machine Learning in Python
PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning 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.
PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning 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.
To install py38-pymc3, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py38-pymc3
To see what files were installed by py38-pymc3, run:
port contents py38-pymc3
To later upgrade py38-pymc3, run:
sudo port selfupdate && sudo port upgrade py38-pymc3
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.