Dear Orges, I can see only 33 citations on Google scholar for this paper.
As detailed in the inclusion criteria of scikit-learn: http://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms I am afraid that we need many more citations to include this algorithm. However, you could submit it for inclusion to scikit-learn-contrib: http://contrib.scikit-learn.org/ Best, Gaël On Sat, Nov 25, 2017 at 07:34:42PM +0100, Orges Leka wrote: > Dear scikit-learn Developers, > My Name is Orges Leka and I would like to implement > "Rapid Outlier Detection via Sampling" [1] in scikit-learn. > In R this method is already available [2] by the authors of the method. > In Python I have not seen any implementation yet. The method is very simple > yet > effective as the authors show. First one selects say 20 points. Then computes > the shortest distance of all other points to these 20 points. This is the > outlier-score for one specific point. > It would be nice to implement this with different metrics / distances (euclid, > manhattan or other metrics) . > How would I start the implementation? I have already git-cloned scikit-learn > on > my pc. Do I need to write object oriented or are functions also ok? > If this succeeds, I would also like to extend the "example-outliers" doc with > the above method. > Kind regards > Dipl. Math. Orges Leka > [1] https://papers.nips.cc/paper/ > 5127-rapid-distance-based-outlier-detection-via-sampling.pdf > [2] https://github.com/mahito-sugiyama/sampling-outlier-detection > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn -- Gael Varoquaux Researcher, INRIA Parietal NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
