Tags

* aGrUM
  * Adding `gum::{AllDiscreteVariable}.toFast()` to write the variable in *fast* syntax.
  * Fixing a bug in BN's random generators : `domain_size` incremented by 1 (thanks to Kenneth Lee).
  * Fixing a bug in *fast* syntax : `'A[n]' with n<2`.

* pyAgrum
  * Adding `pyAgrum.{AllDiscreteVariable}.toFast()` to write the variable in *fast* syntax.
  * Fixing a bug in BN's random generators (e.g. `pyAgrum.randomBN`) : `domain_size` incremented by 1 (thanks to Kenneth Lee).
  * Fixing a bug in *fast* syntax : `'A[n]' with n<2`.
  * Modifying (lightly) the structure for documentation.

* aGrUM
  * Add `gum::Potential::sign` and `gum::Potential::new_sign` 
  * Bug fix in causalImpact found by Musfiqur Rahman
  * Generalization and rationalization of access of aGrUM's generator of pseudo-random values
  * Adding `gum::Timer::toString()`.
  * Improving BN random generator.
  * get rid of `sprintf` as much as possible.
  * Fixing random seed.
  * Fixing `gum::Potential::random()` : not a distribution.
  * Updating *Fast* syntax : enumerating consecutive integers (e.g `{1|2|3|4}`) creates a `gum::RangeVariable[1,4]` rather than an `gum::IntegerVariable{1|2|3|4}`.
* pyAgrum
  * Add `pyAgrum.Potential.sign` and `pyAgrum.Potential.new_sign` 
  * Bug fix in causalImpact found by Musfiqur Rahman
  * Adding `pyAgrum.Timer.__str()__`.
  * Improving BN random generator.
  * Fixing random seed.
  * Fixing `pyAgrum.Potential.random()` : not a distribution.
  * Adding access to `gum.fastVariable()`.
  * Updating *Fast* syntax : enumerating consecutive integers (e.g `{1|2|3|4}`) creates a `pyAgrum.RangeVariable[1,4]` rather than an `pyAgrum.IntegerVariable{1|2|3|4}`.
  * add a new module to export in different formats (for now just GML).

Quick fix for the configuration of pyAgrum documentation generation by readthedoc.

The main points of this tag is the renaming of *Markov network* (`MarkovNet`, `MN`) for the better known *Markov Random Field* (`MarkovRandomField`, `MRF`) and a new reader/writer of XDSL format (Genie/Smile) for Bayesian networks. Other improvements and corrections have naturally also been made.

* aGrUM
  * Renaming `gum::MarkovNet` to `gum::MarkovRandomField`. Renaming `gum::*MN*` to `gum::*MRF*` when necessary.
  * Fixing glitches and bugs induced or revealed by `gum::MarkovNet`->`gum::MarkovRandomField`.
  * new `XDSL` Reader/writer for Bayesian network.
  * Renaming `gum::Learning::BNLearner::learnMixedStructure` to `gum::Learning::BNLearner::learnPDAG`
  * working on documentation : better rendering for doxygen pages.
  * Renaming `gum::dSeparation` to `gum::dSeparationAlgorithm`.

* pyAgrum
  * Renaming `pyAgrum.MarkovNet` to `pyAgrum.MarkovRandomField`. Renaming `pyAgrum.*MN*` to `pyAgrum.*MRF*` when necessary.
  * new `XDSL` Reader/writer for Bayesian network.
  * Renaming `pyAgrum.BNLearner.learnMixedStructure()` to `pyAgrum.BNLearner.learnPDAG()`.
  * For figure containing nodes drawn by matplotlib (e.g. inference), use the same font for all nodes (default from matplotlib) (thanks to Jonathon Blackford).
  * Working on documentation : better rendering for readthedocs pages, improved structuration, new thumbnail image for some notebooks/tutorials.
  * Significant improvement of the documentation coverage. 
  * Improving `gum.DiscreteVariable.to[typeOfVariable]`, renaming as `gum.DiscreteVariable.as[typeOfVariable]` and adding documentations.

Mainly documentations and new analytics for the different sites.

* pyAgrum
    * Adding a new and very easy to use `pyAgrum.randomBN` that creates a BN from a list of names.
    * Removing obsolete `pyAgrum.generateCSV` replaced by `pyAgrum.generateSample`. Fixing tests.
    * Fixing and improving pyAgrum documentation.

* 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.

* 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.

* pyAgrum

  * bugfixes in `pyAgrum.lib.[causal.]notebook`.

* 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.