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
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).
1 maintainer
Metadata
1 maintainer
Release files for svm-label-ranking 0.0.2
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