replying, please edit your Subject line so it is more specific
> than "Re: Contents of scikit-learn digest..."
>
> Date: Tue, 10 Jan 2017 11:58:59 +0300
> From: a...@mccme.ru
> To: Scikit-learn user and developer mailing list
>
> Subject: Re: [scikit-learn] Gen
Hi Raga,
You may try approximating your kernel using Nystroem kernel approximator
(kernel_approximation.Nystroem) and then apply LDA to the transformed
feature vectors. If you choose dimensionality of the target space
(n_components) large enough (depending on your kernel and data),
Nystroem a
Hello,
I wonder if scikit-learn has implementation for generalized discriminant
analysis using kernel approach?
http://www.kernel-machines.org/papers/upload_21840_GDA.pdf
I did some search, but couldn't find.
Thank you,
Raga
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