[scikit-learn] Outlier Detection: Contributing a new Estimator: Rank-Based Outlier Detection

[Guillaume Lemaître]

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.lemaitre58 at 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 <mail at 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 at 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/
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