Python Environment for Bayesian Learning
Project 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
- 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
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pebl-1.01.tar.gz (2.5 MB) | File type Source | Python version None | Upload date | Hashes View hashes |
