aGrUM/pyAgrum 1.3.0 released

ANNOUNCE: aGrUM 1.3.0

aGrUM/pyAgrum 1.3.0 is out.

Changelog for 1.3.0

• aGrUM

  • Fixing errors in doxygen configuration.
  • Adding a new class of discrete variable gum::NumericalDiscreteVariable whose support is a (finite) set of double.
  • Fixing new clang warnings.
  • Fixing a bug in gum::Potential::max() when all values are negative (thanks to Zakarie Aloui).
  • Adding a new method gum::learning::BNLearner::score() which computes the currently selected score for a node and its parents.
  • Adding a test for a variance being not negative in gum::ShaferSheoyLIMIDInference (thanks to Benjamin Datko).
  • Adding new methods gum::learning::BNLeaner::mutualInformation() and gum::learning::BNLearner::correctedMutualInformation().

• pyAgrum

  • Adding a new class of discrete variable gum.NumericalDiscreteVariable whose support is a (finite) set of double.
  • Updating notebooks w.r.t. this new variable (16-Examples_quasiContinuous and 18-Examples-BayesianBetaCoin).
  • Adding a new method gum.BNLearner.score() which computes the currently selected score for a node and its parents.
  • Adding new methods gum.BNLeaner.mutualInformation() and gum.BNLearner.correctedMutualInformation().