https://github.com/ashishpatel26/sklearn-ranking
Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package
https://github.com/ashishpatel26/sklearn-ranking
ranking ranking-algorithm ranking-methods scikit-learn sklearn sklearn-ranking
Last synced: 7 months ago
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Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package
- Host: GitHub
- URL: https://github.com/ashishpatel26/sklearn-ranking
- Owner: ashishpatel26
- License: mit
- Created: 2020-05-19T12:22:32.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-20T08:02:57.000Z (over 5 years ago)
- Last Synced: 2025-03-26T23:42:45.856Z (7 months ago)
- Topics: ranking, ranking-algorithm, ranking-methods, scikit-learn, sklearn, sklearn-ranking
- Language: Python
- Homepage: https://pypi.org/project/sklearn-ranking/0.0.1/
- Size: 15.6 KB
- Stars: 14
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
## sklearn-ranking
sklearn-ranking is a python package offering a ranking algorithm.
### Installation
---
#### Dependencies
sklearn-ranking is tested to work under Python 3.6+. The dependency requirements are based on the last scikit-learn release:
- scipy(>=0.19.1)
- numpy(>=1.13.3)
- scikit-learn(>=0.22)
- joblib(>=0.11)
- keras 2 (optional)
- tensorflow (optional)
Additionally, to run the examples, you need matplotlib(>=2.0.0) and pandas(>=0.22).
#### Installation
sklearn-ranking is currently available on the PyPi's repository and you can install it via pip:
```
pip install -U sklearn-ranking
```
The package is release also in Anaconda Cloud platform:
```
conda install -c conda-forge sklearn-ranking
```
If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
```
git clone https://github.com/ashishpatel26/sklearn-ranking.git
cd sklearn-ranking
pip install .
```
Or install using pip and GitHub:
```
pip install -U git+https://github.com/ashishpatel26/sklearn-ranking.git
```