MDP version 2.1 and symeig 1.2 have been released! What's new in version 2.1? --------------------------
- Fully compatible with NumpPy 1.0, the first stable release of the descendant of the Numeric python extension module - symeig project resumed and updated - For increased speed, scipy and symeig are automatically used if available - New nodes: Independent Slow Feature Analysis and quadratic forms analysis algorithms - General improvements, several bug fixes, and code cleanups What is it? ----------- Modular toolkit for Data Processing (MDP) is a data processing framework written in Python. From the user's perspective, MDP consists of a collection of trainable supervised and unsupervised algorithms that can be combined into data processing flows. The base of readily available algorithms includes Principal Component Analysis, two flavors of Independent Component Analysis, Slow Feature Analysis, Independent Slow Feature Analysis, and many more. From the developer's perspective, MDP is a framework to make the implementation of new algorithms easier. MDP takes care of tedious tasks like numerical type and dimensionality checking, leaving the developer free to concentrate on the implementation of the training and execution phases. The new elements then seamlessly integrate with the rest of the library. MDP has been written in the context of theoretical research in neuroscience, but it has been designed to be helpful in any context where trainable data processing algorithms are used. Its simplicity on the user side together with the reusability of the implemented nodes make it also a valid educational tool. As its user base is increasing, MDP is becoming a common repository of user-supplied, freely available, Python-implemented data processing algorithms. The optional symeig module contains a Python wrapper for the LAPACK functions to solve the standard and generalized eigenvalue problems for symmetric (hermitian) positive definite matrices. Those specialized algorithms give an important speed-up with respect to the generic LAPACK eigenvalue problem solver used by NumPy. Resources --------- Download: http://sourceforge.net/project/showfiles.php?group_id=116959 Homepage: http://mdp-toolkit.sourceforge.net Mailing list: http://sourceforge.net/mail/?group_id=116959 -- Tiziano Zito Institute for Theoretical Biology Humboldt-Universitaet zu Berlin Invalidenstrasse, 43 10115 Berlin, Germany Pietro Berkes Gatsby Computational Neuroscience Unit Alexandra House, 17 Queen Square London WC1N 3AR, United Kingdom -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
