[Blends-commit] r2788 - /projects/science/trunk/debian-science/tasks/machine-learning

[yoh at users.alioth.debian.org]

Author: yoh
Date: Fri Apr 29 01:47:46 2011
New Revision: 2788

URL: http://svn.debian.org/wsvn/blends/?sc=1&rev=2788
Log:
injected entry for python-pebl

Modified:
    projects/science/trunk/debian-science/tasks/machine-learning

Modified: projects/science/trunk/debian-science/tasks/machine-learning
URL: http://svn.debian.org/wsvn/blends/projects/science/trunk/debian-science/tasks/machine-learning?rev=2788&op=diff
==============================================================================
--- projects/science/trunk/debian-science/tasks/machine-learning (original)
+++ projects/science/trunk/debian-science/tasks/machine-learning Fri Apr 29 01:47:46 2011
@@ -138,3 +138,23 @@
 
 Suggests: science-typesetting
 Meta-Suggests: svn://svn.debian.org/blends/projects/science/trunk/debian-science/tasks/typesetting
+
+ ; Added by blends-inject 0.0.7. [Please note here if modified manually]
+Depends: python-pebl
+Homepage: https://code.google.com/p/pebl-project/
+WNPP: 612761
+Responsible: Debian Python Modules Team <python-modules-team at lists.alioth.debian.org>
+Vcs-Browser: http://svn.debian.org/viewsvn/python-apps/packages/pebl/trunk/
+Vcs-Svn: svn://svn.debian.org/svn/python-apps/packages/pebl/trunk
+Pkg-Description: 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
+   * Has facilities for transparent parallel execution using several
+     cluster/grid resources
+   * Calculates edge marginals and consensus networks
+   * Presents results in a variety of formats