[ANN] MDP-3.3 released!

[Tiziano Zito]

We are glad to announce release 3.3 of the Modular toolkit for Data
Processing (MDP). This a bug-fix release, all current users are 
invited to upgrade. 

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 signal processing methods (Principal Component Analysis,
Independent Component Analysis, Slow Feature Analysis),
manifold learning methods ([Hessian] Locally Linear Embedding),
several classifiers, probabilistic methods (Factor Analysis, RBM),
data pre-processing methods, and many others.

What's new in version 3.3?
--------------------------
 - support sklearn versions up to 0.12 
 - cleanly support reload
 - fail gracefully if pp server does not start
 - several bug-fixes and improvements

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

Acknowledgments
---------------
We thank the contributors to this release: Philip DeBoer, Yaroslav Halchenko.


The MDP developers,
Pietro Berkes
Zbigniew Jędrzejewski-Szmek
Rike-Benjamin Schuppner
Niko Wilbert
Tiziano Zito