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.
Version control system available: Browse sources
| 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 |