aGrUM/pyAgrum 0.16.2 released

ANNOUNCE: aGrUM 0.16.2

aGrUM/pyAgrum 0.16.2 is out.

Changelog for 0.16.2

• pyAgrum
  • remove the use of 'f-strings' in pyAgrum.lib.notebook.py

Changelog for 0.16.1

• aGrUM

  • improve the syntax for BN specification using gum::fastPrototype
  • improve several CMakeFiles.txt and doxygen documentation
  • add CI for python 2.7
  • refresh gum::BayesNet::toString()
  • API change : gum::MarkovBlanket()::{mb()->gum::MarkovBlanket::dag()}

• pyAgrum

  • pyAgrum.config object for customization (see notebook 08-configForPyAgrum)
  • improving the syntax for BN specification using pyAgrum.fastBN
  • improving pyAgrum's documentation
  • add pyAgrum.causal.counterfactual and pyAgrum.causal.counterfactualModel (see notebook 55-Causality_Counterfactual)
  • improve plots for histograms (particularly : now svg image by default)
  • add pyAgrum.Potential.fullWithFunction()
  • add pyAgrum.{any graph-like}.connectedComponents()
  • add pyAgrum.BayesNet.parents() and pyAgrum.BayesNet.children() with the name of node.
  • pyAgrum.MarkovBlanket(bn,var,level) build now a level-th order Markov Blanket (by default level=1)
  • add access to constants pyAgrum.VarType_{Discretized|Labelized|Range} when testing pyAgrmu.{any discrete variable}.varType()
  • API change : pyAgrum.MarkovBlanket().{mb()->dag()}
  • add pyAgrum.lib.bn_vs_bn.GraphicalBNComparator.hamming()