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}},
}
1 maintainer
Metadata
1 maintainer
Release files for nafes 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| nafes-0.0.4.tar.gz | 28.6 kB | Without provenance | Details for nafes-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nafes-0.0.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for nafes-0.0.4-py2.py3-none-any.whl |
Total release size: 45.3 kB
Release files / nafes-0.0.4.tar.gz
| Download URL | nafes-0.0.4.tar.gz |
|---|---|
| Size | 28.6 kB |
| Tags | Source |
|
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Release files / nafes-0.0.4-py2.py3-none-any.whl
| Download URL | nafes-0.0.4-py2.py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
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Security for nafes 0.0.4
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