aGrUM/pyAgrum 1.8.0 released
Posted on Tue 09 May 2023 in News
ANNOUNCE: aGrUM 1.8.0
aGrUM/pyAgrum 1.8.0 is out.
Changelog for 1.8.0
-
aGrUM
- Adding new class
gum::InfomationTheory
that regroups every information theory concepts (entropies, conditional entropies and mutual information, ...) with only one inference, which allows also conditioned information theory concepts. - Adding
gum::Potential::expectedValue()
- Adding the alternative fast syntax for NumericalDiscreteVariable :
{1.5:3.5:3}
meaning from 1.5 to 3.5 in 3 steps. - Updating
GraphicalModel::exists(const std::string&)
: return false instead of throwing an exception. - Adding
gum::graphicalModels::variables()
and a new alias forgum::VariableSet
. - Fixing a bug in
gum::ShaferShenoyInference
for joint posterior when some nodes in the target received hard evidence. - Improving error message w.r.t
gum::*::jointPosterior
. - Adding mingw as a target for CI.
- Fixing dangling pointers in testsuite, only detected by MSVC.
- Optimized
gum::PDAG::cSeparation
- Renaming
gum::Set::isProper{Sub|Super}Set
togum::Set::isStrict{Sub|Super}Set
.
- Adding new class
-
pyAgrum
- swig>4.1 is now needed.
- Enabling installation with poetry (thanks to Lorenzo Conti)
- Adding new class
pyAgrum.InfomationTheory
that regroups every information theory concepts (entropies, conditional entropies and mutual information, ...) with only one inference, which allows also conditioned information theory concepts. - Adding
pyAgrum.Potential.expectedValue()
. - Restructuring a bit the sphinx documentation.
- Down-exporting the read-only API for every types of discrete Variable to
pyAgrum.DiscreteVariable
. (seeVariablesTestSuite.testExportDerivedReadOnlyAPIforDiscreteVariable
) - Updating notebooks to the new down-exported read-only API of
pyAgrum.DiscreteVariable
. - Adding the alternative fast syntax for NumericalDiscreteVariable :
{1.5:3.5:3}
meaning from 1.5 to 3.5 in 3 steps. - Updating docs for new fast syntax.
- Updating
GraphicalModel::exists(const std::string&)
: return false instead of throw an exception. - Initiating a new notebook about the interaction with ipywidget
- Optimized and correctly wrapped
gum::PDAG::cSeparation
(thanks to Kenneth Lee). - New functions
pyAgrum.lib.explain.nestedMarkovBlankets
andpyAgrum.lib.explain.nestedMarkovBlanketsNames
.