Metadata-Version: 1.2
Name: pyagrum
Version: 1.3.1
Summary: Bayesian networks and other Probabilistic Graphical Models.
Home-page: https://agrum.gitlab.io/
Author: Pierre-Henri Wuillemin and Christophe Gonzales
Author-email: info@agrum.org
License: LGPLv3
Keywords: probabilities probabilistic-graphical-models inference diagnosis
Project-URL: Bug Tracker, https://gitlab.com/agrumery/aGrUM/-/issues
Project-URL: Documentation, https://pyagrum.readthedocs.io/
Project-URL: Source Code, https://gitlab.com/agrumery/aGrUM
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: pydot

Description: pyAgrum is a scientific C++ and Python library dedicated to Bayesian Networks and other Probabilistic Graphical Models.  It provides a high-level interface to the part of the C++ aGrUM library allowing to create, model, learn, use, calculate with and embed Bayesian Networks and other graphical models. Some specific (python and C++) codes are added in order to simplify and extend the aGrUM API. The module is mainly generated by the SWIG interface generator.
