aGrUM/pyAgrum 0.18.0 released
Posted on Thu 11 June 2020 in News
ANNOUNCE: aGrUM 0.18.0
aGrUM/pyAgrum 0.18.0 is out.
Changelog for 0.18.0
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aGrUM
- MarkovNet'model, UAI file format and inference (incremental ShaferShenoy)
- Bug fix in
MIIClearning algorithm - Bug fix in
gum::GammaLog2approximations for very small values - Updating and enhancing
gum::GraphicalBNComparator - Enhancing API for
gum::MixedGraph(build a MixedGraph from other graphs) - API changes for
gum::MultiDimAggregator(consistant behavior without parent) - new
gum::MultidimmAggegator:Sum - Minor API changes for
gum::Potential(normalizeAsCPT,minNonZero,maxNonOne) - Minor API changes for graphical models (
gum::DAGModelandgum::UGModels) - [internal] adopting more classical convention for naming pr{otected|ivate} methods and attributes
- [internal] Updating sources for MVSC 2019
-
pyAgrum
- MarkovNet'model, UAI file format and inference (incremental ShaferShenoy)
- Bug fix in
MIIClearning algorithm - Updating and enhancing
pyAgrum.GraphicalBNComparator - Enhancing API for
pyAgrum.MixedGraph(build a MixedGraph from other graphs) - API changes for
pyAgrum::MultiDimAggregator(consistant behavior without parent) - new
pyAgrum::MultidimmAggegator:Sum - Minor API changes for
pyAgrum::Potential(normalizeAsCPT,minNonZero,maxNonOne) - In
gum.lib.bn2roc: bugfix for ROC, access to significant_digit forpredict, add Precision-Recall graph.