Difference between revisions of "Pebl"
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* Calculates edge marginals and consensus networks | * Calculates edge marginals and consensus networks | ||
* Presents results in a variety of formats | * Presents results in a variety of formats | ||
+ | |Homepage URL=http://code.google.com/p/pebl-project/ | ||
|User level=intermediate | |User level=intermediate | ||
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|Computer languages=Python | |Computer languages=Python | ||
− | | | + | |Accepts cryptocurrency donations=No |
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|Keywords=network,Python,learning,Bayesian,Bayesian statistics | |Keywords=network,Python,learning,Bayesian,Bayesian statistics | ||
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|Version identifier=1.01 | |Version identifier=1.01 | ||
|Version date=2008-11-25 | |Version date=2008-11-25 | ||
|Version status=beta | |Version status=beta | ||
|Version download=http://pypi.python.org/packages/source/p/pebl/pebl-1.01.tar.gz#md5=306473a74f9cd89b38e8f017086e6e6d | |Version download=http://pypi.python.org/packages/source/p/pebl/pebl-1.01.tar.gz#md5=306473a74f9cd89b38e8f017086e6e6d | ||
+ | |Last review by=Bendikker | ||
+ | |Last review date=2018/02/22 | ||
+ | |Submitted date=2011-04-01 | ||
+ | |Is GNU=No | ||
+ | |License verified date=2010-03-03 | ||
+ | }} | ||
+ | {{Project license | ||
+ | |License=Expat | ||
+ | |License verified by=Kelly Hopkins | ||
|License verified date=2010-03-03 | |License verified date=2010-03-03 | ||
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}} | }} | ||
{{Person | {{Person | ||
+ | |Real name=Abhik Shah | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=abhikshah@gmail.com | |Email=abhikshah@gmail.com | ||
− | |Resource URL= | + | }} |
+ | {{Resource | ||
+ | |Resource audience=Debian (Ref) | ||
+ | |Resource URL=https://tracker.debian.org/pkg/pebl | ||
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Revision as of 14:04, 22 February 2018
Pebl
http://code.google.com/p/pebl-project/
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
Download
http://pypi.python.org/packages/source/p/pebl/pebl-1.01.tar.gz#md5=306473a74f9cd89b38e8f017086e6e6d
Categories
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
Contact(s) | Role |
---|---|
Abhik Shah | Maintainer |
Resources and communication
Audience | Resource type | URI |
---|---|---|
Debian (Ref) | https://tracker.debian.org/pkg/pebl | |
Python (Ref) | https://pypi.org/project/pebl |
Software prerequisites
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”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.