pracmln is a toolbox for statistical relational learning and reasoning and provides a pure python implementation of Markov logic networks. pracmln is a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains. pracmln has started as a fork of the ProbCog toolbox and has been extended by latest developments in learning and reasoning by the Institute for Artificial Intelligence at the University of Bremen, Germany.
Project Page: http://www.pracmln.org
Lead developer: Daniel Nyga (nyga@cs.uni-bremen.de)
Installation
$ pip install pracmln
Documentation
pracmln comes with its own sphinx-based documentation. To build it, conduct the following actions:
$ cd path/to/pracmln/doc $ make html
If you have installed Sphinx, the documentation should be build. Open it in your favorite web browser:
$ firefox _build/html/index.html
Sphinx can be installed with
$ sudo pip install sphinx sphinxcontrib-bibtex
1 maintainer
Metadata
1 maintainer
Release files for pracmln 1.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pracmln-1.2.4.tar.gz | 3.7 MB | Details |
Release files / pracmln-1.2.4.tar.gz
| Download URL | pracmln-1.2.4.tar.gz |
|---|---|
| Size | 3.7 MB |
| Tags | Source |
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1dace16575bc29ee57450d91ccda913b3a7706e8d7bbb45e5789025806c873de
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7
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