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
On Mon, Jan 14, 2013 at 7:23 PM, Jaques Grobler <jaquesgrob...@gmail.com>wrote:
> Banner would be nice too.. open to any suggestions there ..
> Regards
>
>
> 2013/1/14 Andreas Mueller <amuel...@ais.uni-bonn.de>
>
>> Hi Jaques.
>> Thanks for volunteering. I was actually thinking more about a banner
>> that people can't overlook ;)
>> But if you make it flashy enough in the sidebar, that would also be ok,
>> I guess.
>> Anyhow, before any serious work gets done, I'd like to hear the opinion
>> of Mathieu, Lars, Alex, Gael, Peter and other people I forgot ;)
>>
>> Cheers,
>> Andy
>>
>>
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