python3-mdp - 3.6-2 main

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.