On 02/01/2014 10:42 PM, Robert Layton wrote:
>
> Finally, when choosing classifiers, it's our preference to focus on 
> heavily used classifiers, rather than state of the art. Many of the 
> core devs (and myself) have coded classifiers that are scikit-learn 
> compatible, but not in the library because they aren't commonly used. 
> These are usually in private repositories.
Where "private" usually means "public", but not in the project.

I think some of the core contributors agreed with me that we want to 
slow the addition of new estimators.
There are many open issues and pull requests. Working on these would 
help us way more than new estimators.


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