svm-label-ranking 0.0.2

SVM Label Ranking problem

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).