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
Pebl Documentation includes installation instructions, tutorial and API reference.
Pebl has been developed at the Systems Biology lab at the University of Michigan and is available with a permissive MIT-style license.
Update 3/6/2009
Pebl is now published in the Journal of Machine Learning Research. Please cite the paper if you use Pebl for your work. Abstract and PDF
