https://github.com/naotoo1/sofes

A python package for soft feature selection
https://github.com/naotoo1/sofes

feature-selection interpretable-ai lvq machine-learning prototype-based-models python

Last synced: 5 months ago
JSON representation

A python package for soft feature selection

• Host: GitHub
• URL: https://github.com/naotoo1/sofes
• Owner: naotoo1
• License: mit
• Created: 2023-11-06T18:57:34.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-26T17:23:03.000Z (almost 2 years ago)
• Last Synced: 2025-10-27T17:40:48.871Z (8 months ago)
• Topics: feature-selection, interpretable-ai, lvq, machine-learning, prototype-based-models, python
• Language: Python
• Homepage: https://naotoo1.github.io/sofes/
• Size: 703 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# sofes

[![image](https://img.shields.io/pypi/v/sofes.svg)](https://pypi.python.org/pypi/sofes)

[![python: 3.60](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-3610/)

[![github](https://img.shields.io/badge/version-0.0.1-yellow.svg)](https://github.com/naotoo1/sofes)

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

**A python package for prototype-based soft feature selection**

Sofes is a prototype-based soft feature selection package wrapped around the

highly interpretable Matrix Robust Soft Learning Vector Quantization (MRSLVQ) and the Local

MRSLVQ algorithms. The process of assessing feature relevance with Sofes aligns with a comparable

approach established in the nafes package, with the primary distinction being the utilization of

prototype-based induction learners influenced by a probabilistic framework.

    

## Installation

sofes can be installed using pip.

```python

pip install sofes

```

If you have installed sofes before and want to upgrade to the latest version, you can run the following command in your terminal:

Prosemble can be installed using pip.

```python

pip install -U sofes

```

To install the development version from GitHub using Git, run the following command in your terminal:

```python

pip install git+https://github.com/naotoo1/sofes

```

## Bibtex

If you would like to cite the package, please use this:

```python

@misc{Otoo_sofes_2023,

author = {Otoo, Nana Abeka},

title = {sofes},

year = {2023},

publisher = {GitHub},

journal = {GitHub repository},

howpublished= {\url{https://github.com/naotoo1/sofes}},

}

```