Metadata-Version: 1.1
Name: svm-label-ranking
Version: 0.0.1
Summary: SVM Label Ranking problem
Home-page: https://github.com/salmuz/svm-label-ranking
Author: Yonatan-Carlos Carranza-Alarcon
Author-email: salmuz@gmail.com
License: BSD
Download-URL: https://github.com/salmuz/svm-label-ranking/tarball/0.0.1
Description: svm-label-ranking
        ===============================
        
        This implementation is inspired of papers: 
        
        * WestonJ ElisseeffA, ‘Kernel methods for multi-labelled classification and categorical regression problems’, Advances in Neural Information Processing Systems, Cambridge, MA: MITPress, 681, 687, (2002).    
        * Shankar Vembu and Thomas Ga ̈rtner, ‘Label ranking algorithms: A sur- vey’, in Preference learning, 45–64, Springer, (2010).
        
        Version number: 0.0.1
        
        Overview
        --------
        
        SVM Label Ranking problem 
        
        Installation / Usage
        --------------------
        
        To install use pip:
        
            $ pip install svm-label-ranking
        
        
        Or clone the repo:
        
            $ git clone https://github.com/salmuz/svm-label-ranking.git
            $ python setup.py install
        
        
        Author
        ------
        * Yonatan-Carlos Carranza-Alarcon
        
            
        Contributing
        ------------
        * Zhou Xingjian (from [repository](https://github.com/Kkkassini/classifip/commit/8b5c54860c523ca229af91fac32657b6e8ebbe68))
        * Yating Deng (from [repository](https://github.com/Kkkassini/classifip/commit/8b5c54860c523ca229af91fac32657b6e8ebbe68))
        
        Example
        -------
        
        There are many tests example in the tests folder.
        * Cross-validation with n-time repetition.
        * Simpler inference from a data set (by default IRIS).
        
Keywords: SVM,Label Ranking
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
