PEBL

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

Current Version

1.0.1

Intended Audience

Analysts

References

Shah A, Woolf P.
Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data. Journal of Machine Learning Research. 10(Feb):159-162, 2009.

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