Project details for pebl Python Environment for Bayesian Learning

Logo JMLR pebl Python Environment for Bayesian Learning 0.9.10

by abhik - March 3, 2009, 09:46:12 CET [ Project Homepage BibTeX Download ]

view (5 today), download ( 0 today ), 1 comment, 1 subscription

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
  • Can specify structural priors and constraints
  • Provides several learning algorithms; makes creating new ones simple
  • Has facilities for transparent parallel execution using several cluster/grid resources
  • Calculates edge marginals and consensus networks
  • Presents results in an interactive HTML format
Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
URL: Project Homepage
JMLR MLOSS PaperURL: JMLR-MLOSS Paper Homepage
Supported Operating Systems: Cygwin, Linux, Macosx, Windows
Data Formats: None
Tags: Python, Distributed, Parallel, Bayesian Networks
Archive: download here

Other available revisons

Version Changelog Date
1.0.1

Updated version to 1.0.1

March 4, 2009, 22:11:32
0.9.10

Initial Announcement on mloss.org.

June 24, 2008, 12:43:53

Comments

Abhik Shah (on June 26, 2008, 22:18:49)

If you have problems installing or using Pebl or have any questions or comments, please do not hesitate to contact me at: abhikshah@gmail.com

Leave a comment

You must be logged in to post comments.