MCMC samplers based on simulating Hamiltonian dynamics on a manifold
Mici is a Python package providing implementations of Markov chain Monte Carlo (MCMC) methods for approximate inference in probabilistic models, with a particular focus on MCMC methods based on simulating Hamiltonian dynamics on a manifold.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size mici-0.1.10-py3-none-any.whl (81.9 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size mici-0.1.10.tar.gz (83.1 kB)||File type Source||Python version None||Upload date||Hashes View|