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./wip/py-ngf, Python package for implementing and solving Network form games

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Branch: CURRENT, Version: 0.1.2, Package name: py27-nfg-0.1.2, Maintainer: jihbed.research

PyNFG is designed to make it easy for researchers to model strategic
environments using the Network Form Game (NFG) formalism developed by David
Wolpert with contributions from Ritchie Lee, James Bono and others. The main
idea of the NFG framework is to translate a strategic environment into the
language of probabilistic graphical models. The result is a more intuitive,
powerful, and user-friendly framework than the extensive form

Required to run:
[graphics/py-matplotlib] [devel/py-setuptools] [math/py-networkx] [math/py-scipy] [math/py-numpy]

Master sites:

https://files.pythonhosted.org/packages/source/P/PyNFG/ (Download)

SHA1: 5be41813b4139212d124a861e952d975be630d6c
RMD160: f3c55bcfb46e64c104b961dfcca285bcdce50405
Filesize: 176.327 KB

Version history: (Expand)

(2016-09-14) Package deleted from pkgsrc
(2016-01-23) Package has been reborn
(2016-01-21) Package deleted from pkgsrc
(2015-09-07) Package has been reborn
(2015-09-07) Package deleted from pkgsrc
(2015-06-03) Package has been reborn

CVS history: (Expand)

2014-06-20 21:14:30 by Kamel Derouiche | Files touched by this commit (5)

Log message:
Import py27-nfg-0.1.2 as wip/py-ngf.

PyNFG is designed to make it easy for researchers to model strategic
environments using the Network Form Game (NFG) formalism developed by David
Wolpert with contributions from Ritchie Lee, James Bono and others. The main
idea of the NFG framework is to translate a strategic environment into the
language of probabilistic graphical models. The result is a more intuitive,
powerful, and user-friendly framework than the extensive form