mloss.org pebl Python Environment for Bayesian Learninghttp://mloss.orgUpdates and additions to pebl Python Environment for Bayesian LearningenThu, 05 Mar 2009 00:05:28 -0000pebl Python Environment for Bayesian Learning 1.0.1http://mloss.org/software/view/86/<html><p>Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. </p> <p>Pebl includes the following features: </p> <ul> <li> Can learn with observational and interventional data </li> <li> Handles missing values and hidden variables using exact and heuristic methods </li> <li> Can specify structural priors and constraints </li> <li> Provides several learning algorithms; makes creating new ones simple </li> <li> Has facilities for transparent parallel execution using several cluster/grid resources </li> <li> Calculates edge marginals and consensus networks </li> <li> Presents results in an interactive HTML format </li> </ul></html>Abhik ShahThu, 05 Mar 2009 00:05:28 -0000http://mloss.org/software/rss/comments/86http://mloss.org/software/view/86/pythondistributedparallelbayesian networks<b>Comment by Abhik Shah on 2008-06-26 22:18</b>http://mloss.org/comments/cr/14/86/#c14<p>If you have problems installing or using Pebl or have any questions or comments, please do not hesitate to contact me at: <a href="mailto:abhikshah@gmail.com">abhikshah@gmail.com</a> </p>Abhik ShahThu, 26 Jun 2008 22:18:49 -0000http://mloss.org/comments/cr/14/86/#c14