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).