Bayesian Network Classifiers using libtorch from scratch

Go to file

Ricardo Montañana fd04e78ad9 Restore sample.cc		2023-09-29 18:50:25 +02:00
.vscode	Remove platformUtils and split Datasets & Dataset	2023-09-29 18:20:46 +02:00
cmake/modules	Fix some mistakes to correct tests	2023-07-20 18:55:56 +02:00
config	Add Makefile & tests	2023-07-17 22:51:15 +02:00
data	Solve voting vector error	2023-09-02 13:58:12 +02:00
diagrams	Upgrade models version and Add class diagram	2023-09-02 14:39:43 +02:00
lib	Remove OpenXLSX submodule	2023-09-20 01:09:58 +02:00
sample	Restore sample.cc	2023-09-29 18:50:25 +02:00
src	Remove platformUtils and split Datasets & Dataset	2023-09-29 18:20:46 +02:00
tests	Remove platformUtils and split Datasets & Dataset	2023-09-29 18:20:46 +02:00
.clang-tidy	update clang-tidy	2023-08-07 00:44:12 +02:00
.clang-uml	Add Linux specific options to compile	2023-08-29 18:20:55 +02:00
.gitignore	Remove .vscode/settings.json from repository	2023-09-20 01:01:40 +02:00
.gitmodules	Remove OpenXLSX submodule	2023-09-20 01:09:58 +02:00
CMakeLists.txt	Linux CMakeLists.txt adjustment	2023-09-29 00:30:47 +02:00
gcovr.cfg	Update Makefile to add Release & Debug build	2023-08-01 19:02:37 +02:00
LICENSE	Initial commit	2023-06-29 19:52:57 +00:00
Makefile	Change names of executables to b_...	2023-09-29 09:17:50 +02:00
README.md	Add boost info to README	2023-09-28 09:44:33 +02:00

BayesNet

Bayesian Network Classifier with libtorch from scratch

0. Setup

Before compiling BayesNet.

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

make release

make debug