aGrUM/pyAgrum 0.13.4 released

Posted on mer. 19 décembre 2018 in News

ANNOUNCE: aGrUM 0.13.4

aGrUM/pyAgrum 0.13.4 is out.

Changelog for 0.13.4

  • pyAgrum
  • 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