Metadata-Version: 2.1
Name: fglib2
Version: 1.1.2
Summary: Factor Graphs for probabilistic reasoning
Author-email: Tom Schierenbeck <tom_sch@uni-bremen.de>, Abdelrhman Bassiouny <abassiou@uni-bremen.de>, Alessandro Santonicola <ale_san@uni-bremen.de>
Project-URL: Source, https://github.com/tomsch420/fglib2
Project-URL: Bug Tracker, https://github.com/tomsch420/fglib2/issues
Keywords: probabilistic graphical models,factor graphs,belief propagation,sum product,probabilistic machine learning,probability theory,variables,reasoning under uncertainty
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: networkx >=3.0
Requires-Dist: numpy >=1.24.4
Requires-Dist: random-events >=1.1.1
Requires-Dist: tabulate >=0.9.0

# Welcome to the fglib2 package!

Factor Graphs are a powerful tool for probabilistic machine learning. Unfortunately, there are no modern libraries 
implementing them. This package improves the original fglib package by adding a richer documentation and a more 
refined implementation.

Install the package via

``
    pip install fglib2
``

Read the docs [here](https://fglib2.readthedocs.io/en/latest/).
