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cff-version: 1.2.0
title: "pyAgrum/aGrUM"
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Pierre-Henri
    family-names: WUILLEMIN
    email: pierre-henri.wuillemin@lip6.fr
    affiliation: Sorbonne Université / CNRS
    orcid: 'https://orcid.org/0000-0003-3691-4886'
  - given-names: Christophe
    family-names: GONZALES
    email: christophe.gonzales@lis-lab.fr
    affiliation: AMU / CNRS
    orcid: 'https://orcid.org/0009-0006-1633-5405'
identifiers:
  - type: url
    value: 'https://hal.archives-ouvertes.fr/hal-03135721'
    description: >-
      aGrUM/pyAgrum : a Toolbox to Build Models and
      Algorithms for Probabilistic Graphical Models in
      Python
  - type: url
    value: 'https://hal.archives-ouvertes.fr/hal-01509651'
    description: 'aGrUM: a Graphical Universal Model framework'
repository-code: 'https://gitlab.com/agrumery/aGrUM'
url: 'https://agrum.gitlab.io/'
repository: 'https://github.com/agrumery/aGrUM'
abstract: >-
  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 is a Python wrapper for the C++ aGrUM library
  (using SWIG interface generator). It 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.
keywords:
  - Bayesian networks
  - Probabilistic Graphical Models
  - Causality
  - Statistical learning
  - Decision Making
  - Artificial Intelligence
  - Machine Learning
  - C++
  - Python
license: 
  - LGPL-3.0
  - MIT
preferred-citation :
  type: conference-paper
  authors:    
    - given-names: Gaspard
      family-names: Ducamp
    - given-names: Christophe
      family-names: Gonzales
    - given-names: Pierre-Henri
      family-names: Wuillemin
  title: 'aGrUM/pyAgrum : a Toolbox to Build Models and Algorithms for Probabilistic Graphical Models in Python'
  year: 2020
  conference: 
    name: 10th International Conference on Probabilistic Graphical Models
  url: https://hal.archives-ouvertes.fr/hal-03135721
