Pyagrum

pyAgrum is a scientific C++ and Python open source library dedicated to Bayesian networks (BN) and other Probabilistic Graphical Models. Based on the C++ aGrUM library, it provides a high-level interface to the C++ part of aGrUM allowing to create, manage and perform efficient computations with Bayesian networks and others probabilistic graphical models - Markov networks (MN)- influence diagrams (ID) and LIMIDs, credal networks (CN)- dynamic BN (dBN)- probabilistic relational models (PRM). Several topics have been added to pyAgrum (as pure python modules using pyAgrum)- Scikit-learn-compliant probabilistic classifiers based on Bayesian networks- Probabilistic causality (causal networks, do-calculus)- dynamic Bayesian network- tools for explainability in Bayesian networks.