CODEWITHSUNDEEP
shogun
Kevin Murphy
Kevin Murphy

Reputation: 31

string kernels for GP/SVM regression

I want to solve a small regression problem where the inputs are variable-length strings from a small vocabulary. I'd like to use Gaussian Process regression with some kind of string kernel. (SVM regression also ok.)

I see from this page that shogun supports many kinds of string kernels - can someone please provide a high level summary (with references to papers) of how they work?

I'd also like to see a worked example (in python), since I've never used shogun before. I found this post on stackoverflow, but it's dated from 2014, and it's not clear if the interface is up to date.

Thanks Kevin

Upvotes: 0

Views: 241

Answers (1)

iglesias
iglesias

Reputation: 57

The documentation pages of string kernel classes contain the information you are looking for. For example:

Quite likely not all classes will contain either one piece of information or the other.

Upvotes: 0

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