Looking for the latest version? Download MDP-3.4.tar.gz (335.1 kB)
Name Modified Size Downloads / Week Status
Parent folder
MDP-tutorial.pdf 2011-03-30 855.3 kB 0
MDP-3.1.zip 2011-03-30 508.4 kB 0
README.txt 2011-03-30 1.1 kB 0
MDP-3.1.tar.gz 2011-03-30 446.7 kB 0
MDP-3.1.Python3.exe 2011-03-30 676.0 kB 0
MDP-3.1.Python2.exe 2011-03-30 537.6 kB 0
Totals: 6 Items   3.0 MB
We are glad to announce release 3.1 of the Modular toolkit for Data Processing (MDP). MDP is a Python library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. The base of available algorithms includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others. What's new in version 3.1? -------------------------- This is a bug fix release. Resources --------- Download: http://sourceforge.net/projects/mdp-toolkit/files Homepage: http://mdp-toolkit.sourceforge.net Mailing list: http://lists.sourceforge.net/mailman/listinfo/mdp-toolkit-users Acknowledgments --------------- We thank the contributors to this release: Sven Dähne, Fabian Pedregosa. The MDP developers, Pietro Berkes Zbigniew Jędrzejewski-Szmek Rike-Benjamin Schuppner Niko Wilbert Tiziano Zito
Source: README.txt, updated 2011-03-30

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