aGrUM/pyAgrum 0.19.0 released

ANNOUNCE: aGrUM 0.19.0

aGrUM/pyAgrum 0.19.0 is out.

Changelog for 0.19.0

Mainly : important changes for Influence Diagram (aGrUM and pyAgrum) and for BayesNet classifiers compliant to scikit-learn's API (pyAgrum).

LIMIDS inference

Classifiers comparison (from sklearn) + Bayesian networks (last column)

• aGrUM

  • new and better inference for Influence Diagrams and LIMIDs (gum::ShafeShenoyLIMIDInference)
  • new builder for Influence Diagram gum::InfluenceDiagram::fastPrototype
  • bugfixes

• pyAgrum

  • wrapper and notebook functions for new inference and new methods for influence diagram
  • new module skbn for BayesNet classifier compatible with sklearn (classification and discretization) with optimized predict method and specific structural learning for fit (Naive Bayes, TAN, Chow-Liu tree, and others learning aGrUM's algorithms). Several discretization methods are implemented.
  • minor graphical improvements
  • remove old deprecated class/method (since pyAgrum 0.12.0)
  • Improving documentation (readthebook)
  • bugfixes