I don't need to use one, I was more interested in getting one implemented
at SHOGUN are the only other ML toolkit offering one, and it would be nice
to have one in sklearn.
Andreas in response to you. I mean for the purposing of learning the
weights of individual kernels. Though the improvements on accuracy are
smaller (possibly due to limitation in the objective function), it's also
useful for feature elimination/ARD. Also useful in more structured problems
where you can group your features into sets that have meaning. i.e.,
different sources.
On Mon, Feb 20, 2012 at 2:53 PM, xinfan meng <[email protected]> wrote:
> BTW, the feature matrix at the bottom of their home page is very
> interesting, maybe sklearn should provide one.
>
>
> On Mon, Feb 20, 2012 at 10:50 PM, xinfan meng <[email protected]> wrote:
>
>> If you just need a MKL implementation, you should take a look at Shogun (
>> http://www.shogun-toolbox.org/). It also provide a Python interface.
>>
>> On Mon, Feb 20, 2012 at 10:36 PM, Nicholas Pilkington <
>> [email protected]> wrote:
>>
>>> I was wondering if there were any immediate plans to implement Multiple
>>> Kernel SVMs in sklearn? There is a lots of SVM functionality and it would
>>> be nice to extend to MKL.
>>> If not what would be the best way to get involved in implementing them.
>>>
>>> Nick
>>>
>>> --
>>> Nicholas C.V. Pilkington
>>> University of Cambridge
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Try before you buy = See our experts in action!
>>> The most comprehensive online learning library for Microsoft developers
>>> is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3,
>>> Metro Style Apps, more. Free future releases when you subscribe now!
>>> http://p.sf.net/sfu/learndevnow-dev2
>>> _______________________________________________
>>> Scikit-learn-general mailing list
>>> [email protected]
>>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>>
>>>
>>
>>
>> --
>> Best Wishes
>> --------------------------------------------
>> Meng Xinfan（蒙新泛）
>> Institute of Computational Linguistics
>> Department of Computer Science & Technology
>> School of Electronic Engineering & Computer Science
>> Peking University
>> Beijing, 100871
>> China
>>
>
>
>
> --
> Best Wishes
> --------------------------------------------
> Meng Xinfan（蒙新泛）
> Institute of Computational Linguistics
> Department of Computer Science & Technology
> School of Electronic Engineering & Computer Science
> Peking University
> Beijing, 100871
> China
>
>
> ------------------------------------------------------------------------------
> Try before you buy = See our experts in action!
> The most comprehensive online learning library for Microsoft developers
> is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3,
> Metro Style Apps, more. Free future releases when you subscribe now!
> http://p.sf.net/sfu/learndevnow-dev2
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
--
Nicholas C.V. Pilkington
University of Cambridge
------------------------------------------------------------------------------
Try before you buy = See our experts in action!
The most comprehensive online learning library for Microsoft developers
is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3,
Metro Style Apps, more. Free future releases when you subscribe now!
http://p.sf.net/sfu/learndevnow-dev2
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
