Metadata-Version: 2.1
Name: nafes
Version: 0.0.2
Summary: A python project for prototype-based feature selection
Home-page: https://github.com/naotoo1/nafes
Author: Nana Abeka Otoo
Author-email: nanaabekaotoo@gmail.com
License: MIT license
Keywords: nafes
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE

# nafes


[![image](https://img.shields.io/pypi/v/nafes.svg)](https://pypi.python.org/pypi/nafes)
[![image](https://img.shields.io/conda/vn/conda-forge/nafes.svg)](https://anaconda.org/conda-forge/nafes)
[![python: 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-31011/)
[![github](https://img.shields.io/badge/version-0.0.2-yellow.svg)](https://github.com/naotoo1/nafes)
[![pypi](https://img.shields.io/badge/pypi-0.0.1-orange.svg)](https://pypi.org/project/nafes)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)


**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. 

    

## Installation
nafes can be installed using pip.
```python
pip install nafes
```





## Bibtex
If you would like to cite the package, please use this:
```python
@misc{Otoo_nafes_2023,
author = {Otoo, Nana Abeka},
title = {nafes},
year = {2023},
publisher = {GitHub},
journal = {GitHub repository},
howpublished= {\url{https://github.com/naotoo1/nafes}},
}
```

