BayesNet

Bayesian Network Classifier with libtorch from scratch

0. Setup

Before compiling BayesNet.

MPI

In Linux just install openmpi & openmpi-devel packages. Only cmake can't find openmpi install (like in Oracle Linux) set the following variable:

export MPI_HOME="/usr/lib64/openmpi"

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

Getting Started

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

1. Introduction