NAME

       pebl - Python Environment for Bayesian Learning

SYNOPSIS

       pebl <action> [<action parameters>]

DESCRIPTION

       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

OPTIONS

       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.

AUTHOR

       Pebl was written by Abhik Shah <abhikshah@gmail.com>

       This manual page was written by Miriam Ruiz <miriam@debian.org>, for  the  Debian  project
       (but may be used by others).

                                                                                          Pebl(1)