Metadata-Version: 1.1
Name: sklearn-ranking
Version: 0.0.1
Summary: This package is used for recommendation system
Home-page: http://github.com/ashishpatel26/sklearn-ranking
Author: ashishpatel26
Author-email: ashishpatel.ce.2011@gmail.com
License: MIT
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        ## sklearn-ranking
        
        sklearn-ranking is a python package offering a ranking algorithm. 
        
        ### Installation
        
        ---
        
        #### Dependencies
        
        imbalanced-learn 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
        
        imbalanced-learn 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
        ```
Keywords: sklearn-ranking sklearn ranking recommendation python
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.0
Classifier: Topic :: Text Processing :: Linguistic
