Ups the remaining of the message: https://github.com/scikit-learn-contrib/project-template
You can refer to: https://sklearn-template.readthedocs.io/en/latest/ and the user guide which is really similar to the documentation that you mentioned. On Tue, 6 Nov 2018 at 18:38, Guillaume Lemaître <g.lemaitr...@gmail.com> wrote: > If you are going to make a scikit-learn-contrib project, we recently > updated and simplified the project template: > > On Tue, 6 Nov 2018 at 18:26, Jakob Zeitler <m...@jakob-zeitler.de> wrote: > >> Dear sklearners, >> >> I have been working on a rank-based outlier detection algorithm (RBDA) >> developed here at Syracuse, of which the code I would like to contribute to >> sklearn as it gives a viable alternative to established algorithms such as >> LOF (https://www.tandfonline.com/doi/abs/10.1080/00949655.2011.621124) >> >> Should I be fine if I keep to the general contribution rules regarding >> estimators? ( >> http://scikit-learn.org/stable/developers/contributing.html#rolling-your-own-estimator) >> Are they up to date? >> >> Because RBDA is <200 citations, I assume it will not pass the inclusion >> criteria ( >> http://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms) >> therefore I assume I am dealing with a case of “scikit-learn-contrib” as >> discussed here ( >> https://github.com/scikit-learn-contrib/scikit-learn-contrib/blob/master/workflow.md >> ) >> >> If anyone can share common pitfalls of that process, that would be great! >> >> Thanks a lot, >> Jakob >> >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > > > -- > Guillaume Lemaitre > INRIA Saclay - Parietal team > Center for Data Science Paris-Saclay > https://glemaitre.github.io/ > -- Guillaume Lemaitre INRIA Saclay - Parietal team Center for Data Science Paris-Saclay https://glemaitre.github.io/
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
