Bayesian Network Classifiers using libtorch from scratch
| .vscode | ||
| cmake/modules | ||
| config | ||
| data | ||
| diagrams | ||
| lib | ||
| sample | ||
| src | ||
| tests | ||
| .clang-tidy | ||
| .clang-uml | ||
| .gitignore | ||
| .gitmodules | ||
| CMakeLists.txt | ||
| gcovr.cfg | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
BayesNet
Bayesian Network Classifier with libtorch from scratch
0. Setup
Before compiling BayesNet.
boost library
The best option is install the packages that the Linux distribution have in its repository. If this is the case:
sudo dnf install boost-devel
If this is not possible and the compressed packaged is installed, the following environment variable has to be set:
export BOOST_ROOT=/path/to/library/
libxlswriter
cd lib/libxlsxwriter
make
sudo make install
It has to be installed in /usr/local/lib otherwise CMakeLists.txt has to be modified accordingly
Environment variable has to be set:
export LD_LIBRARY_PATH=/usr/local/lib
Release
make release
Debug & Tests
make debug