aGrUM/pyAgrum 0.13.4 released

ANNOUNCE: aGrUM 0.13.4

aGrUM/pyAgrum 0.13.4 is out.

Changelog for 0.13.4

• pyAgrum
  • minor API changes
  • minor changes in documentation
  • BNLearner follows the new learning framework
  • parametric EM !! See notebook http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/16-ParametriceEM.ipynb
  • New method : JointTargetedInference.jointMutualInformation for any set of variables in the BN
• aGrUM
  • parametric EM !!
  • several internal improvements
  • learning: major update of the scores, independence tests and record counters: They can now be used on subsets of databases (e.g., for cross validation), the ids of the nodes need not correspond to in dices of columns in the database . The interfaces of these classes have been simplified.
  • learning: all the scores have been speeded-up
  • learning: new score fNML has been introduced
  • learning: Dirichlet apriori has been improved: the variables in its database need not be in the same order as those of the learning database
  • learning: all the score-related testunits have been improved
  • learning: the documentations of the scores have been improved
  • learning: the corrected mutual information of 3off2 has been improved
  • BNLearner: now supports cross validation
  • New method : JointTargetedInference::jointMutualInformation for any set of variables in the BN