python-mdp – Modular toolkit for Data Processing¶
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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.
Distribution |
Base version |
Our version |
Architectures |
|---|---|---|---|
Debian GNU/Linux 11.0 (bullseye) |
3.6-1.1 |
||
Debian GNU/Linux 12.0 (bookworm) |
3.6-2 |
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Debian GNU/Linux 9.0 (stretch) |
3.5-1 |
3.5-1~nd90+1 |
i386, amd64, sparc, armel |
Debian testing (trixie) |
3.6-8 |
||
Debian unstable (sid) |
3.6-8 |
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 22.04 “Jammy Jellyfish” (jammy) |
3.6-1.1 |