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1.5.1d9799c36 · ·
* aGrUM * Improving `gum::BNLearner::state()`. * (internals) new macro `GUM_TEST` and `GUM_INACTIVE_TEST` for CI * pyAgrum * Improving `gum.BNLearner.state()`. * Improving style for readthedoc (pygments and no StickySideBar) * Improving documentation coverage (for methods) from 84.9% to 90.7% : more than 100 newly covered methods.
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1.5.026575b63 · ·
* aGrUM * (internals) Updating `act --stats`. * (internals) Reorganizing build folder : `build/{aGrUM|pyAgrum}/{debug|release}`. * (internals) Improving cmake & CIs. * Threadsafe graphs and Graphical Models. * Adding new graph `gum::PDAG` (Partially Directed Acyclic Graph). * Renaming `gum::MixedGraph::adjacents` with correct graph notion : `gum::MixedGraph::boundary`. * Initializing the majority of the end/rend iterators at compile time. * Adding AVL binary search trees: `gum::AVLTree`. * Adding priority queues that can be iterated in order: `gum::SortedPriorityQueue`. * Better messages for `gum::BayesNet::check()`. * pyAgrum * (internals) New docker images with linux gcc 11 for wheels. * (internals) CMake: Use FindPython module. * (internals) Removing some (false positive) warning notifications from swig. * Fixing NaN bugs for new versions of Graphviz. * Improving gum.lib.notebooks.flow and light/dark theme compatibility. * Renaming `pyAgrum.MixedGraph.adjacents` with correct graph notion : `pyAgrum.MixedGraph.boundary`. * New graph class `gum.PDAG` (Partially Directed Acyclic Graph). * Fixing a small typo when displaying function as Potential. * better messages for `pyAgrum.BayesNet.check()`. * More robust `gum.explain.showInformation()` w.r.t. NaN. * Fixing typos in documentation. * Improving the organization of ReadTheDoc documentation.
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1.4.08402ab62 · ·
* aGrUM * better `toString` for BN : show the memory used by the parameters. * pyAgrum * **adding conda and pip packages for python 3.11** * better `__str__` for BN : show the memory used by the parameters. * bug fix in obsolete pyAgrum.`BNLearner.useNoAPriori()`. * bug fix when displaying a `pyAgrum.causal.CausalFormula` generated by do-Calculus : retrieving the original `doing` and `knowing` sets.
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