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
-
aGrUM
- MarkovNet'model, UAI file format and inference (incremental ShaferShenoy)
- Bug fix in
MIIC
learning algorithm - Bug fix in
gum::GammaLog2
approximations 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::DAGModel
andgum::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
MIIC
learning 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.