Package : python-pymc > RPM : python-pymc-5.10.4-1.mga10.src.rpm
Basic items
Name | python-pymc |
Version | 5.10.4 |
Release | 1.mga10 |
URL | https://github.com/pymc-devs/pymc3 |
Group | Sciences/Mathematics |
Summary | Markov Chain Monte Carlo sampling toolkit |
Size | 6,889KB |
Arch | noarch |
License | AFL |
Description
PyMC is a python module that implements Bayesian statistical models
and fitting algorithms, including Markov chain Monte Carlo. Its
flexibility and extensibility make it applicable to a large suite of
problems. Along with core sampling functionality, PyMC includes
methods for summarizing output, plotting, goodness-of-fit and
convergence diagnostics.
and fitting algorithms, including Markov chain Monte Carlo. Its
flexibility and extensibility make it applicable to a large suite of
problems. Along with core sampling functionality, PyMC includes
methods for summarizing output, plotting, goodness-of-fit and
convergence diagnostics.
Media information
Distribution release | Mageia cauldron |
Media name | core-release |
Media arch | i586 |
Advanced items
Source RPM | NOT IN DATABASE ?! |
Build time | 2024-03-07 13:49:29 |
Changelog | View in Sophie |
Files | View in Sophie |
Dependencies | View in Sophie |