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
SVM Label Ranking problem
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
- Yonatan-Carlos Carranza-Alarcon
- Zhou Xingjian (from repository)
- Yating Deng (from repository)
There are many tests example in the tests folder.
- Cross-validation with n-time repetition.
- Simpler inference from a data set (by default IRIS).