2012/2/20 Nicholas Pilkington :
> 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.
Alex started a
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 o
Hello
Le 20/02/2012 15:41, Andreas a écrit :
Hi Nick.
Afaik no one plans to work on that at the moment.
I was thinking about it some while ago, but then decided not to do it.
By MKL you mean learning the weights of different kernels, right?
Or do you mean inducing some group sparsity on the dif
On 02/20/2012 03:53 PM, xinfan meng wrote:
> BTW, the feature matrix at the bottom of their home page is very
> interesting, maybe sklearn should provide one.
Thanks for pointing to this matrix. That is interesting. I don't think
we should duplicate that but we
could link to it.
btw It seems the
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 wrote:
> If you just need a MKL implementation, you should take a look at Shogun (
> http://www.shogun-toolbox.org/). It also provide a Py
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 imple
Hi Nick.
Afaik no one plans to work on that at the moment.
I was thinking about it some while ago, but then decided not to do it.
By MKL you mean learning the weights of different kernels, right?
Or do you mean inducing some group sparsity on the different kernels?
From what I heard recently, le
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 Cambr
