> Do you have some examples for this?
just read the commit:
https://github.com/agramfort/scikit-learn/commit/34223251fa33ae25c80f8e1dfb630a2e1c5ba7c6
A
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Dear Alex,
Do you have some examples for this?
Thanks
Arman
On Thu, Nov 27, 2014 at 12:38 AM, Alexandre Gramfort <
alexandre.gramf...@telecom-paristech.fr> wrote:
> hi,
>
> in this branch you have a toy implementation that does not scale
>
> https://github.com/agramfort/scikit-learn/tree/mkl
>
hi,
in this branch you have a toy implementation that does not scale
https://github.com/agramfort/scikit-learn/tree/mkl
Maybe it helps,
Alex
On Wed, Nov 26, 2014 at 9:23 PM, Andy wrote:
> Hi Arman.
> There is no multiple kernel learning that automatically learns the weights
> of the different
Hi Arman.
There is no multiple kernel learning that automatically learns the
weights of the different kernels.
If you just want to use multiple kernels, you can just add them and
supply the combined kernel matrix to the SVM.
Best,
Andy
On 11/26/2014 02:31 PM, Arman Eshaghi wrote:
Hi,
I'm wo
Hi,
I'm wondering whether there is a similar functionality to Shogun's
MKLClassifcition or multi-kernel learning SVM in skleran? I would like to
combine multiple kernels, becuase I have data from multipel MRI modalities,
similar to what has been described in
http://www.shogun-toolbox.org/static/no
