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pebl 1.0.2
Python Environment for Bayesian Learning
Downloads ↓ | Package Documentation
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
| File | Type | Py Version | Uploaded on | Size | # downloads |
|---|---|---|---|---|---|
| pebl-1.0.2.tar.gz (md5) | Source | 2010-05-27 | 2MB | 450 | |
- Author: Abhik Shah
- Documentation: pebl package documentation
- Home Page: http://pebl-project.googlecode.com
- Download URL: http://pypi.python.org/pypi/pebl
- License: MIT
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Categories
- Development Status :: 5 - Production/Stable
- Environment :: Console
- Intended Audience :: Science/Research
- License :: OSI Approved :: MIT License
- Operating System :: OS Independent
- Programming Language :: Python
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Bio-Informatics
- Package Index Owner: abhik
- DOAP record: pebl-1.0.2.xml