rmontanana
released this
2024-11-23 18:15:09 +00:00
| 105 commits to main since this release
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
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