Metadata-Version: 2.1
Name: probabilistic_model
Version: 3.0.4
Summary: Factor Graphs for probabilistic reasoning
Author-email: Tom Schierenbeck <tom_sch@uni-bremen.de>
Project-URL: Source, https://github.com/probabilistic_model/fglib2
Project-URL: Bug Tracker, https://github.com/tomsch420/probabilistic_model/issues
Keywords: probabilistic models,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: random-events >=1.2.5
Requires-Dist: networkx >=3.2.1
Requires-Dist: portion ==2.4.2
Requires-Dist: plotly >=5.18.0
Requires-Dist: scipy >=1.12.0
Requires-Dist: typing-extensions >=4.9.0

# Welcome to the Probabilistic Model's package. 

This package contains an interface for any kind of probabilistic models.
The aim of this package is to provide a clean, unifying, well documented API to
probabilistic models. Just like sklearn does for classical machine learning models.

Read the docs here https://probabilistic-model.readthedocs.io/en/latest/.
