BayesNet
Bayesian Network Classifier with libtorch from scratch
0. Setup
Before compiling BayesNet.
MPI
In Linux just install openmpi & openmpi-devel packages.
In Mac OS X, install mpich with brew and if cmake doesn't find it, edit mpicxx wrapper to remove the ",-commons,use_dylibs" from final_ldflags
vi /opt/homebrew/bin/mpicx
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 pointing to the folder where it was unzipped to:
export BOOST_ROOT=/path/to/library/
In some cases, it is needed to build the library, to do so:
cd /path/to/library
mkdir own
./bootstrap.sh --prefix=/path/to/library/own
./b2 install
export BOOST_ROOT=/path/to/library/own/
Don't forget to add the export BOOST_ROOT statement to .bashrc or wherever it is meant to be.
libxlswriter
cd lib/libxlsxwriter
make
make install DESTDIR=/home/rmontanana/Code PREFIX=
Environment variable has to be set:
export LD_LIBRARY_PATH=/usr/local/lib
Release
make release
Debug & Tests
make debug