Package : python-pymc > RPM : python-pymc-3.11.4-3.mga9.src.rpm
Basic items
| Name | python-pymc |
| Version | 3.11.4 |
| Release | 3.mga9 |
| URL | https://github.com/pymc-devs/pymc3 |
| Group | Sciences/Mathematics |
| Summary | Markov Chain Monte Carlo sampling toolkit |
| Size | 1,963KB |
| 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 9 |
| Media name | core-release |
| Media arch | i586 |
Advanced items
| Source RPM | NOT IN DATABASE ?! |
| Build time | 2022-06-24 21:10:24 |
| Changelog | View in Sophie |
| Files | View in Sophie |
| Dependencies | View in Sophie |