Package python-module-pymc: Information

Source package: python-module-pymc

Version: 2.3.6-alt1.1.1

Build time:  Mar 3, 2019, 06:06 PM in the task #223501

Category: Development/Python

Gear: https://git.altlinux.org/gears/p/python-module-pymc.git?a=tree;h…

Home page: https://pypi.python.org/pypi/pymc/

License: Academic Free License & BSD

Summary: Markov Chain Monte Carlo sampling toolkit

Description: 

Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC),
is an increasingly relevant approach to statistical estimation. However,
few statistical software packages implement MCMC samplers, and they are
non-trivial to code by hand. pymc is a python package that implements
the Metropolis-Hastings algorithm as a python class, and is extremely
flexible and applicable to a large suite of problems. pymc includes
methods for summarizing output, plotting, goodness-of-fit and
convergence diagnostics.

List of rpms provided by this srpm:
python-module-pymc (x86_64, i586, aarch64)
python-module-pymc-debuginfo (x86_64, i586, aarch64)
python-module-pymc-docs (noarch)
python-module-pymc-pickles (x86_64, i586, aarch64)
python-module-pymc-tests (x86_64, i586, aarch64)
python3-module-pymc (x86_64, i586, aarch64)
python3-module-pymc-debuginfo (x86_64, i586, aarch64)
python3-module-pymc-tests (x86_64, i586, aarch64)

Maintainer: Aleksei Nikiforov