On 15 January 2013 13:10, Wei LI <[email protected]> wrote:
> A survey would be quite helpful to make a detailed roadmap. Maybe we can
> also put the survey on somewhere machine learning guys gather like Kaggle.
>
> I wanna share some thoughts on adding new algorithms. More and more papers
> are published for machine learning, and plenty of new algorithms are
> proposed to replace old ones. There have been debate about whether to
> include one algorithm or not in sklearn and I believe there will be more
> and more such discussion because of those new papers. For the addition of
> new algorithms, maybe some new estimators could be added in a 3rd party
> contrib repo where every algorithms can be added as long as it have been
> benchmarked and follows the structure of sklearn. Sklearn provides a good
> framework and utilities to implement new algorithms, and makes some common
> tasks like cross validation easy. In the main repo, only those time-tested
> algorithms or those voted most algorithms from contrib repo are included.(I
> think it is just what R has done?). For those users who use it for research
> purposes, it may allow them a new place to share benchmark algorithms or
> their own algorithms rather than matlabcentral.
>
> Best Regards,
> Wei LI
>
>
I believe a project like that exists, but I cannot remember the name of it.
On the survey, I'd be happy to help analyse the results, but probably won't
have time to set it up.
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