aGrUM/pyAgrum 0.13 released

ANNOUNCE: aGrUM 0.13

aGrUM/pyAgrum 0.13 is out. 0.13.2 is the current version.

Changelog 0.13.0 (from gitlab)

• aGrUM
  • inference: Loopy Belief Propagation (LBP)
  • inference: new approximated inference : Monte-Carlo/Importance/Weighted Sampling + the same using LBP as a Dirichlet prior (Loopy...).
  • learning: new algorithm 3off2 and miic
  • learning: new database handling framework (allows for coping with missing values and with different types of variables)
  • learning: possibility to load data from nanodbc databases (e.g., postgres, sqlite)
  • learning: add a progress Listener/Signaler in BNDatabaseGenerator
  • potential: API extension (findAll,argmax,argmin,fillWith(pot,map))
  • variable: new constructor for LabelizedVariable with labels as vector of string + posLabel (std::string)
  • variable: new constructor with vector of ticks for gum::DiscretizedVariable
  • graph: API extension (addNodes(n))
  • graph: API change (addNode(id)->addNodeWithId(id))
  • Changes and bug fixe in in BIF and NET writer/reader
• pyAgrum
  • wheels for python 3.3 and 3.4
  • access to the new learning framework using BNLearner
  • access to the new inference algorithms
  • new methods Instantiation.fromdict and Instantiation.todict
  • DiscreteVariable.toDiscretized/toLabelized/toRange copy the variable instead of giving a (not readonly) reference
• O3PRM
  • new syntax for types
  • read and write Bayesian Network with O3PRM syntax
• Documentations
  • agrum : doxygen helps structure and howtos
  • pyAgrum : documentation of a large part of pyAgrum's API, export to https://pyagrum.readthedocs.io
  • o3prm : still in progress (see https://o3prm.lip6.fr, https://o3p rm.readthedocs.io)
• act
  • new command guideline for a few easy checks
• many bug fixes