Metadata-Version: 2.1
Name: probabilistic_model
Version: 1.6.20
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: anytree>=2.9.0
Requires-Dist: portion>=2.4.1
Requires-Dist: plotly>=5.18.0

# 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/.
