aprofs

Name	aprofs JSON
Version	0.0.5 JSON
	download
home_page	None
Summary	"Package aprofs serves the purpose of streaming the feature selection using aproximate preditions"
upload_time	2024-10-19 09:16:27
maintainer	None
docs_url	None
author	Filipe Santos
requires_python	<4.0,>=3.9
license	MIT
keywords	one two
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # aprofs package metadada

![Alt text](./docs/logo.png)

## aprofs: Approximate Prediction Feature Selection using Shapley Values

Welcome to aprofs, an open-source Python package designed to simplify the process of feature selection using approximate prediction with Shapley values.

The idea is that using on this package you can speed up feature selection (in an approximate way).

Please look at the package website for more resources: [Aprofs Documentation](https://blewy.github.io/aprofs/)

## Features

- **Feature Selection**: aprofs uses Shapley values, a concept from cooperative game theory, to identify the most important features in your dataset.

- **Feature Visualization**: aprofs uses Shapley values to check the marginal behavior of the feature used by the model using pdp plots.

## Installation
You can install aprofs via pip:

```bash
pip install aprofs==0.0.5
```

## Usage
Please look into the website here: [Aprofs Documentation](https://blewy.github.io/aprofs/)

## Contributing
As an open-source project, we welcome contributions from the community. I will create a CONTRIBUTING.md for guidelines on how to contribute.

License
This project is licensed under the terms of the MIT license.


            

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