Ricardo Montañana Gómez f72aa5b9a6 Merge pull request 'Create Boost_CFS' (#11) from Boost_CFS into main
Add hyper parameter to BoostAODE. This hyper parameter decides if we select features with cfs/fcbf/iwss before start building models and build a Spode with the selected features.
The hyperparameter is select_features
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BayesNet

Bayesian Network Classifier with libtorch from scratch

0. Setup

Before compiling BayesNet.

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:

export BOOST_ROOT=/path/to/library/

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

Description
Bayesian Network Classifiers using libtorch from scratch
Readme MIT 14 MiB
2025-07-19 20:52:59 +00:00
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