semvec/pypi-packages huggingface dataset:
ltr 0.0.2
A fast Learning to Rank library based on RankLib
License: MIT
Requires Python: >=3.6

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[comment]: <> (  <a href="https://github.com/matchup-ir/ranky">)

[comment]: <> (    <img src="images/logo.png" alt="Logo" width="300" height="150">)

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  <h3 align="center">rankY</h3>

  <p align="center">
    A fast Learning to Rank library based on RankLib written in Cython.
    <br />
    <a href="https://ltr.readthedocs.io/"><strong>Explore the docs »</strong></a>
    <br />
    <br />
    <a href="https://github.com/matchup-ir/ranky/issues">Report Bug</a>
    ·
    <a href="https://github.com/matchup-ir/ranky/issues">Request Feature</a>
  </p>
</p>



<!-- TABLE OF CONTENTS -->
<details open="open">
  <summary>Table of Contents</summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
    </li>
    <li><a href="#roadmap">Roadmap</a></li>
    <li><a href="#contributing">Contributing</a></li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>



<!-- ABOUT THE PROJECT -->
## About The Project

rankY is a Learning to Rank library written in Cython and based on the famous [RankLib](https://sourceforge.net/p/lemur/wiki/RankLib%20How%20to%20use/) library. The main goal of this project is to provide a simple, fast and memory safe wich implements a wide variety of LTR models. 

<!-- GETTING STARTED -->
## Getting Started

```shell
pip install ltr
```

<!-- ROADMAP -->
## Roadmap

The project is in the early stages of development. Thus, feel free to contribute and help ltr++ to grow up!

See the [open issues](https://github.com/matchup-ir/ranky/issues) for a list of proposed features (and known issues).

**OBS**: To propose new features or report bugs, check out the correct templates.

<!-- CONTRIBUTING -->
## Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

<!-- LICENSE -->
## License

Distributed under the MIT License. See `LICENSE` for more information.

<!-- CONTACT -->
## Contact

Marcos Pontes - mfprezende@gmail.com

Project Link: [https://github.com/matchup-ir/ranky](https://github.com/matchup-ir/ranky)