aGrUM is a C++ library for graphical models. It is designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes. pyAgrum provides a high-level interface to the part of aGrUM 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.

Since pyAgrum 2.0.0, the package name follows PEP8 rules and is now pyagrum (lowercase).

Please use:

import pyagrum

Instead of:

import pyAgrum

See the CHANGELOG (https://gitlab.com/agrumery/aGrUM/-/blob/master/CHANGELOG.md?ref_type=heads#changelog-for-200) for more details.