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

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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 4 years ago)
• Default Branch: master
• Last Pushed: 2020-05-20T08:02:57.000Z (over 4 years ago)
• Last Synced: 2024-10-01T15:44:33.178Z (about 1 month 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

```