https://github.com/juliaai/featureselection.jl

Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.
https://github.com/juliaai/featureselection.jl

feature-selection machine-learning mlj

Last synced: 7 days ago
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Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

• Host: GitHub
• URL: https://github.com/juliaai/featureselection.jl
• Owner: JuliaAI
• License: mit
• Created: 2023-12-06T09:40:04.000Z (11 months ago)
• Default Branch: dev
• Last Pushed: 2024-05-22T21:45:35.000Z (6 months ago)
• Last Synced: 2024-05-22T22:42:40.375Z (6 months ago)
• Topics: feature-selection, machine-learning, mlj
• Language: Julia
• Homepage:
• Size: 80.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FeatureSelection.jl

| Linux | Coverage | Documentation | Code Style

| :------------ | :------- | :------------- | :------------- |

| [![Build Status](https://github.com/JuliaAI/FeatureSelection.jl/workflows/CI/badge.svg)](https://github.com/JuliaAI/FeatureSelection.jl/actions) | [![Coverage](https://codecov.io/gh/JuliaAI/FeatureSelection.jl/branch/dev/graph/badge.svg)](https://codecov.io/github/JuliaAI/FeatureSelection.jl?branch=dev) | [![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaai.github.io/FeatureSelection.jl/dev/) | [![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle) |

Repository housing feature selection algorithms for use with the machine learning toolbox [MLJ](https://juliaai.github.io/MLJ.jl/dev/).

This package provides a collection of feature selection algorithms designed for use with MLJ, a powerful machine learning toolbox in Julia. It aims to facilitate the process of selecting the most relevant features from your datasets, enhancing the performance and interpretability of your machine learning models.

## Key Features

- Integration with MLJ: Seamlessly integrates with MLJ's extensive suite of tools and models.

- Variety of Algorithms: Includes multiple feature selection algorithms to suit different types of data and models.

- User-friendly: Easy to use with clear documentation and examples.

## Getting Started

To get started with this package, refer to the documentation for installation instructions, usage guides, and API references.

## Contributing

Contributions are welcome! Please refer to MLJ contributing [guidelines](https://github.com/JuliaAI/MLJ.jl/blob/dev/CONTRIBUTING.md) for more information.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.