A python package for prototype-based feature selection
Nafes is a prototype-based feature selection package designed as a wrapper centered on the highly interpretable and powerful Generalized Matrix Learning Vector Quantization (GMLVQ) classification algorithm and its local variant (LGMLVQ). Nafes utilizes the learned relevances evaluated by the mutation validation scheme for Learning Vector quantization (LVQ), which iteratively converges to selected features that relevantly contribute to the prototype-based classifier decisions.
nafes can be installed using pip.
pip install nafesIf you have installed nafes before and want to upgrade to the latest version, you can run the following command in your terminal: Prosemble can be installed using pip.
pip install -U nafesTo install the development version from GitHub using Git, run the following command in your terminal:
pip install git+https://github.com/naotoo1/nafesIf you would like to cite the package, please use this:
@misc{Otoo_nafes_2023,
author = {Otoo, Nana Abeka},
title = {nafes},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished= {\url{https://github.com/naotoo1/nafes}},
}