v1.0.6: A2DE & BoostA2DE models

Fixed

• Prevent existing edges to be added to the network in the add_edge method.
• Don't allow to add nodes or edges on already fiited networks.
• Number of threads spawned
• Network class tests

Added

• Library logo generated with https://openart.ai to README.md
• Link to the coverage report in the README.md coverage label.
• convergence_best hyperparameter to the BoostAODE class, to control the way the prior accuracy is computed if convergence is set. Default value is false.
• SPnDE model.
• A2DE model.
• BoostA2DE model.
• A2DE & SPnDE tests.
• Add tests to reach 99% of coverage.
• Add tests to check the correct version of the mdlp, folding and json libraries.
• Library documentation generated with Doxygen.
• Link to documentation in the README.md.
• Three types of smoothing the Bayesian Network ORIGINAL, LAPLACE and CESTNIK.

Internal

• Fixed doxygen optional dependency
• Add env parallel variable to Makefile
• Add CountingSemaphore class to manage the number of threads spawned.
• Ignore CUDA language in CMake CodeCoverage module.
• Update mdlp library as a git submodule.
• Create library ShuffleArffFile to limit the number of samples with a parameter and shuffle them.
• Refactor catch2 library location to test/lib
• Refactor loadDataset function in tests.
• Remove conditionalEdgeWeights method in BayesMetrics.
• Refactor Coverage Report generation.
• Add devcontainer to work on apple silicon.
• Change build cmake folder names to Debug & Release.
• Add a Makefile target (doc) to generate the documentation.
• Add a Makefile target (doc-install) to install the documentation.

Libraries versions

• mdlp: 2.0.1
• Folding: 1.1.0
• json: 3.11
• ArffFiles: 1.1.0