From 6b81ce2dd40b97a6f6b1c6e90127ccf7a374a1f2 Mon Sep 17 00:00:00 2001 From: Nana Abeka Otoo Date: Sat, 23 Sep 2023 03:38:28 +0200 Subject: [PATCH] updated index.md --- docs/index.md | 27 +++++++++++++++++++++++++-- 1 file changed, 25 insertions(+), 2 deletions(-) diff --git a/docs/index.md b/docs/index.md index 8fff9c4..62caecf 100644 --- a/docs/index.md +++ b/docs/index.md @@ -2,15 +2,38 @@ [![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 project for protottype-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. + - Free software: MIT license - Documentation: -## Features -- TODO + +## 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}}, +} +``` + + + +