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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
- Supports hard and soft structural priors
- Has facilities for transparent parallel execution
- Calculates edge marginals and consensus networks
- Presents results in a variety of formats
released on 25 November 2008
|License||Verified by||Verified on||Notes|
|Expat||Kelly Hopkins||3 March 2010|
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This entry (in part or in whole) was last reviewed on 3 March 2010.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
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