MLRaptor : EM/Variational Inference for Exponential Family Graphical Models. Website: http://michaelchughes.github.com/MLRaptor/ Author: Mike Hughes (www.michaelchughes.com) Please email all comments/questions to mike <AT> michaelchughes.com The repository is organized as follows: expfam/ Defines python module for learning exp. fam. graphical models. doc/ contains human-readable documentation. data/ example dataset modules for loading/using toy data Look for additional documentation and occasional updates on github: https://github.com/michaelchughes/MLRaptor References: The canonical textbook is: * Pattern Recognition and Machine Learning (PRML), by Christopher Bishop