A python project for prototype-based feature selection
Project description
nafes
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.
pip install nafes
If 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 nafes
To install the development version from GitHub using Git, run the following command in your terminal:
pip install git+https://github.com/naotoo1/nafes
Bibtex
If 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}},
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file nafes-0.0.3.tar.gz
.
File metadata
- Download URL: nafes-0.0.3.tar.gz
- Upload date:
- Size: 19.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e4c63c5fe266bdc70b1942724d88541caa47028a58939ceda1cf7835e3bab23 |
|
MD5 | ca1d4702e1752c2d82dcbf081b445d62 |
|
BLAKE2b-256 | ec4b8bfd3fa1ad55a83300559d69a34f2b2616a5bbe79117f514d436e63f4127 |
File details
Details for the file nafes-0.0.3-py2.py3-none-any.whl
.
File metadata
- Download URL: nafes-0.0.3-py2.py3-none-any.whl
- Upload date:
- Size: 16.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.12.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 499e7efcaa99fbe40ec2cceb8fb86520ed15c72d33c982011448fffe385decc5 |
|
MD5 | 1d2c0b8509c68f4fe699364f36b38907 |
|
BLAKE2b-256 | 463f2793dbb0053f9b8d6c7e2ae2bd78571a7fb175e641cf85b42e66e61b88a3 |