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.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy) 3.3-1 3.3+git19-g4ec2f29-1~nd70+1 i386, amd64, sparc, armel
Debian GNU/Linux 8.0 (jessie) 3.3-2 3.5-1~nd80+1 i386, amd64, sparc, armel
Debian GNU/Linux 9.0 (stretch) 3.5-1 3.5-1~nd90+1 i386, amd64, sparc, armel
Debian unstable (sid) 3.5-1 3.5-1~nd+1 i386, amd64, sparc, armel
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 3.2+git28-g4243e9c-1 3.3+git19-g4ec2f29-1~nd12.04+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 3.3-1 3.5-1~nd14.04+1 i386, amd64, sparc
Ubuntu 16.04 “Xenial Xerus” (xenial) 3.5-1    
Ubuntu 17.10 “Artful Aardvark” (artful) 3.5-1ubuntu1    
Ubuntu 18.04 “Bionic Beaver” (bionic) 3.5-1ubuntu1    

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