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.
Installed Size: 1.9 MB
Architectures: all