aGrUM/pyAgrum 1.15.0 released

Posted on Wed 17 July 2024 in News

ANNOUNCE: aGrUM 1.15.0

aGrUM/pyAgrum 1.15.0 is out.

We continue to add (full python) experimental models. In 1.15, we introduce the CTBN model (Continuous Time Bayesian Network) featuring, as usual, modelization and representation, inference (exact and sampling) and a learning algorithm.

  • aGrUM

  • Added gum::NodeId gum::EssentialGraph::idFromName(const std::string& name) and const std::string& gum::EssentialGraph::nameFromId(gum::NodeId node).

  • pyAgrum

  • Added pyAgrum.EssentialGraph.idFromName(str)->int and pyAgrum.EssentialGraph.nameFromId(int)->str
  • Improved documentation of pyAgrum.lib.explain
  • Better pyAgrum.clg.CLG.toDot() and pyAgrum.clg.CLG._repr_html().
  • New model Continuous Time Bayesian Network pyAgrum.ctbn.
  • Formatted and adjustments in pyAgrum.ctbn.
  • Updated documentations for python experimental models notebooks.
  • Updated thumbnails for python experimental models notebooks.
  • Added serialization (pickle) for CLG and CTBN (consistent with other models in pyAgrum).
  • Improved pyAgrum.lib.utils.{apply_}dot_layout
  • Added pyAgrum.lib.utils.async_html2image for exported HTML as png or pdf (notably for pyAgrum.lib.notebook.getSideBySide and pyAgrum.lib.notebook.getPotential).