rankY
A fast Learning to Rank library based on RankLib written in Cython.
Explore the docs »
Report Bug
·
Request Feature
Table of Contents
About The Project
rankY is a Learning to Rank library written in Cython and based on the famous RankLib 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
pip install ltr
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 for a list of proposed features (and known issues).
OBS: To propose new features or report bugs, check out the correct templates.
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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Marcos Pontes - mfprezende@gmail.com
Project Link: https://github.com/matchup-ir/ranky
1 maintainer
Release files for ltr 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ltr-0.0.2-cp38-cp38-manylinux_2_24_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.24+ x86-64 | Details |
Release files / ltr-0.0.2-cp38-cp38-manylinux_2_24_x86_64.whl
| Download URL | ltr-0.0.2-cp38-cp38-manylinux_2_24_x86_64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.8 Linux glibc 2.24+ x86-64 |
|
SHA-256 checksum How to use checksums |
cf015c6f2b18999d365eced75e7a1299b0f577275e8ad436d9e7e15151e19e38
|
|
BLAKE2b-256 checksum How to use checksums |
9ad62b48e9c6c7aa87de1c52253ce49ebd165a7d6327dec5fcab95ff03b1358d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|
