[scikit-learn] 1. Re: Rapid Outlier Detection via Sampling (Olivier Grisel)

[Orges Leka]

Dear Olivier and Gael ,

Thank you for your answer. I started a request for inclusion in
scikit-learn-contrib.
The repo can be found here:
https://github.com/orgesleka/rapid-outlier-detection


Kind regards
Orges Leka


2017-11-27 18:00 GMT+01:00 <scikit-learn-request at python.org>:

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>    1. Re: Rapid Outlier Detection via Sampling (Olivier Grisel)
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> Message: 1
> Date: Mon, 27 Nov 2017 09:45:22 +0100
> From: Olivier Grisel <olivier.grisel at ensta.org>
> To: Scikit-learn mailing list <scikit-learn at python.org>
> Subject: Re: [scikit-learn] Rapid Outlier Detection via Sampling
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> > Do I need to write object oriented or are functions also ok?
>
> I you want to contribute an implementation as a new project on scikit-learn
> contrib, you should be careful to follow the scikit-learn estimators API:
>
> http://scikit-learn.org/dev/developers/contributing.html#
> apis-of-scikit-learn-objects
>
> For outlier detection in particular, you should make sure your new
> estimator is consistent with the API conventions of other methods already
> in scikit-learn:
>
> http://scikit-learn.org/dev/modules/outlier_detection.html
>
> One of the primary goals of the scikit-learn ecosystem is to provide a
> simple homogeneous API to a very heterogeneous set of methods.
>
> --
> Olivier
> ?
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