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

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

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

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

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

Hi Jakob. Sounds like you read up on all the right things. Indeed sounds like a case for scikit-learn-contrib. I think the most common pitfall is that it might take some time for someone to review the project to get merged into scikit-learn-contrib. I'm not sure if there's a backlog right now.

Re: [scikit-learn] Pipegraph example: KMeans + LDA

On 10/29/18 8:08 AM, Manuel Castejón Limas wrote: The long story short: Thank you for your time & sorry for inaccuracies; a few words selling a modular approach to your developments; and a request on your opinion on parallelizing Pipegraph using dask. I'm not very experienced with dask, so

Re: [scikit-learn] Pipegraph example: KMeans + LDA

On 10/29/18 8:08 AM, Manuel Castejón Limas wrote: The long story short: Thank you for your time & sorry for inaccuracies; a few words selling a modular approach to your developments; and a request on your opinion on parallelizing Pipegraph using dask. I'm not very experienced with dask, so

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

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 wrote: > Dear sklearners, > > I have been working on a rank-based outlier detection algorithm (RBDA) > developed here at Syracuse, of

Re: [scikit-learn] Random Forest Regressor -- Implementation in C++

See https://github.com/ajtulloch/sklearn-compiledtrees/ and https://github.com/nok/sklearn-porter ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Re: [scikit-learn] Mailing List

Could you please remove me from your mailing list? On Tue, Nov 6, 2018 at 5:38 PM Fabian Sippl wrote: > Hi Scikit-Team, > > Could you please remove me from the mailing list ? > > Thank you! > > Kind regards, > Fabian Sippl > ___ > scikit-learn mailing

[scikit-learn] Mailing List

Hi Scikit-Team, Could you please remove me from the mailing list ? Thank you! Kind regards, Fabian Sippl ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn