Provided by: python-pebl_1.0.2-4_amd64
pebl - Python Environment for Bayesian Learning
pebl <action> [<action parameters>]
Pebl is a Python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features: . Can learn with observational and interventional data . Handles missing values and hidden variables using exact and heuristic methods . Provides several learning algorithms; makes creating new ones simple . Has facilities for transparent parallel execution using several cluster/grid resources . Calculates edge marginals and consensus networks . Presents results in a variety of formats
run <configfile> Runs pebl based on params in config file. runtask <picklefile> Unpickles the file and calls run() on it. <picklefile> should be a a pickled learner or task. viewhtml <resultfile> <outputdir> Creates a html report of the results. <resultfile> should be a pickled pebl.result. <outputdir> is where the html files will be placed. It will be created if it does not exist.
Pebl was written by Abhik Shah <email@example.com> This manual page was written by Miriam Ruiz <firstname.lastname@example.org>, for the Debian project (but may be used by others). Pebl(1)