Package : python-pymc > RPM : python-pymc-2.3.6-1.mga6.src.rpm
Basic items
Name | python-pymc |
Version | 2.3.6 |
Release | 1.mga6 |
URL | https://github.com/pymc-devs/pymc |
Group | Sciences/Mathematics |
Summary | Markov Chain Monte Carlo sampling toolkit |
Size | 13MB |
Arch | i586 |
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 6 |
Media name | core-release |
Media arch | armv5tl |
Advanced items
Source RPM | NOT IN DATABASE ?! |
Build time | 2016-12-17 13:22:42 |
Changelog | View in Sophie |
Files | View in Sophie |
Dependencies | View in Sophie |