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 11.0 (bullseye) 3.6-1.1    
Debian GNU/Linux 9.0 (stretch) 3.5-1 3.5-1~nd90+1 i386, amd64, sparc, armel
Debian testing (bookworm) 3.6-1.1    
Debian unstable (sid) 3.6-1.1 3.5-1~nd+1 i386, amd64, sparc, armel
Ubuntu 16.04 “Xenial Xerus” (xenial) 3.5-1    
Ubuntu 18.04 “Bionic Beaver” (bionic) 3.5-1ubuntu1    
Ubuntu 20.04 “Focal Fossa” (focal) 3.5-1.1    
Ubuntu 21.10 “Impish Indri” (impish) 3.6-1.1    
Ubuntu 22.04 “Jammy Jellyfish” (jammy) 3.6-1.1    


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