I should probably have put a link to the current implementation as it is now. The link to this project (purged, i removed the various things from my thesis) is:
https://github.com/Al-Pena/ClassifierChain > 2015-07-10 15:20 GMT+02:00 Al <alain.pen...@gmail.com>: >> My name is Alain Pena, (now previously) student in computer engineering >> at University of Liège. >> For my master thesis, I had to implement some methods for multilabel >> classification, those methods being RAKEL [1] and (Ensemble) Classifier >> Chain [2], as well as some variants of this latter (order of the chain >> or length of its links for example). >> >> They are currently lazy (I had a problem with memory while doing my >> thesis, so I had to implement them lazily, throwing each estimator away) >> as well as single threaded. They are tested for multilabel only with a >> test coverage of about 80%. >> >> Before eventually upgrading them to make them more robust and versatile, >> I wondered if scikit-learn would have any interest in those methods. > I've used a (hacky) homegrown RAKEL with some success [1], and I'm > interested to see the code and maybe get it in sklearn eventually. > Publishing as a separate project or a bunch of gists [2] would be a > good idea. I never used classifier chains, but I know the idea. > > [1] > https://staff.fnwi.uva.nl/m.derijke/wp-content/papercite-data/pdf/buitinck-multi-emotion-2015.pdf > [2] https://gist.github.com > > ------------------------------------------------------------------------------ > Don't Limit Your Business. Reach for the Cloud. > GigeNET's Cloud Solutions provide you with the tools and support that > you need to offload your IT needs and focus on growing your business. > Configured For All Businesses. Start Your Cloud Today. > https://www.gigenetcloud.com/ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
