We are glad to announce release 2.6 of the Modular toolkit for Data Processing (MDP).
MDP is a Python library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. The base of available algorithms includes, to name but the most common, Principal Component Analysis (PCA and NIPALS), several Independent Component Analysis algorithms (CuBICA, FastICA, TDSEP, JADE, and XSFA), Slow Feature Analysis, Restricted Boltzmann Machine, and Locally Linear Embedding. What's new in version 2.6? -------------------------- - Several new classifier nodes have been added. - A new node extension mechanism makes it possible to dynamically add methods or attributes for specific features to node classes, enabling aspect-oriented programming in MDP. Several MDP features (like parallelization) are now based on this mechanism, and users can add their own custom node extensions. - BiMDP is a large new package in MDP that introduces bidirectional data flows to MDP, including backpropagation and even loops. BiMDP also enables the transportation of additional data in flows via messages. - BiMDP includes a new flow inspection tool, that runs as as a graphical debugger in the webrowser to step through complex flows. It can be extended by users for the analysis and visualization of intermediate data. - As usual, tons of bug fixes The new additions in the library have been thoroughly tested but, as usual after a public release, we especially welcome user's feedback and bug reports. MDP Sprint 2010 --------------- Following our tradition of sprint-driven development, the team of the core developers decided to organize a programming sprint open to external participants. We invite in particular all users who implemented new algorithms and would like to see them integrated in MDP: you will work together with a core developer! More info: http://sourceforge.net/apps/mediawiki/mdp-toolkit/index.php?title=MDP_Sprint_2010 Resources --------- Download: http://sourceforge.net/projects/mdp-toolkit/files Homepage: http://mdp-toolkit.sourceforge.net Mailing list: http://lists.sourceforge.net/mailman/listinfo/mdp-toolkit-users -- Pietro Berkes Volen Center for Complex Systems Brandeis University Waltham, MA, USA Rike-Benjamin Schuppner Berlin, Germany Niko Wilbert Institute for Theoretical Biology Humboldt-University Berlin, Germany Tiziano Zito Modelling of Cognitive Processes Berlin Institute of Technology and Bernstein Center for Computational Neuroscience Berlin, Germany -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
