python-mdp

Modular toolkit for Data Processing


Python data processing framework for building complex data processing software by combining widely used machine learning algorithms into pipelines and networks. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), and Gaussian Classifiers.

This package contains MDP for Python 2.


Maintainer information

This software package is maintained for (Neuro)Debian by the follow individuals and/or groups:

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NeuroDebian Maintainers
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Yaroslav Halchenko

In order to get support, or to get in touch with a maintainer, please click the ‘Help’ button at the top of the page.

Advanced user information

Version control system available: Browse sources

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze) 2.6-1 3.3+git6-g7bbd889-1~nd60+1 i386, amd64, sparc
Debian GNU/Linux 7.0 (wheezy) 3.3-1 3.3+git6-g7bbd889-1~nd70+1 i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) 3.3-2 3.3+git6-g7bbd889-1~nd70+1 i386, amd64, sparc
Debian testing (stretch) 3.3-2    
Debian unstable (sid) 3.3-2 3.3+git6-g7bbd889-1~nd+1 i386, amd64, sparc
Ubuntu 10.04 LTS “Lucid Lynx” (lucid) 2.5-1 3.1-1~nd10.04+1 i386, amd64
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 3.2+git28-g4243e9c-1 3.3+git6-g7bbd889-1~nd12.04+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 3.3-1    
Ubuntu 14.10 “Utopic Unicorn” (utopic) 3.3-1    
Ubuntu 15.04 “Vivid Vervet” (vivid) 3.3-2    
The source code for this portal is licensed under the GPL-3 and is available on GitHub.