Bayesian Network Classifiers using libtorch from scratch
Ricardo Montañana Gómez
b8589bcd0a
Reviewed-on: #16 As only the voting method was implemented, this approach computes the classifiers prediction using a weighted average of the probabilities computed by each model. Added the predict_proba methods to BaseClassifier - Classifier and Ensemble classes. Add a hyperparameter to decide the type of computation for ensembles voting - probability aggregation |
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| .vscode | ||
| cmake/modules | ||
| config | ||
| diagrams | ||
| docs | ||
| lib | ||
| src | ||
| tests | ||
| .clang-tidy | ||
| .gitignore | ||
| .gitmodules | ||
| CHANGELOG.md | ||
| CMakeLists.txt | ||
| gcovr.cfg | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
BayesNet
Bayesian Network Classifiers using libtorch from scratch
Release
make release
make buildr
Debug & Tests
make debug
make test
make coverage