Python Environment for Bayesian Learning
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
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|License:Expat||Kelly Hopkins||3 March 2010|
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This entry (in part or in whole) was last reviewed on 18 April 2018.
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