Support Vector Machine: insert self-made kernel (Feature #649)

Added by Walter Lucetti over 6 years ago. Updated almost 2 years ago.

Status:Open Start date:
Priority:Normal Due date:
Assignee:- % Done:


Target version:Next Hackathon
Difficulty: Pull request:


It would be useful to be able to insert self-made kernel in SVM structure.

Actual implementation provides only RBF, Sigmoid and polynomial kernels in SVM, but this is too restrictive since in literature you can find a lot of new kernels studied to solve some kind of problems.

You could insert a "USER-KERNEL" option in available kernel and a callback prototipe to implement user-kernel.



Updated by Alexander Smorkalov over 3 years ago

  • Priority changed from High to Normal
  • Target version set to Next Hackathon

Updated by Maksim Shabunin almost 2 years ago

Issue has been transferred to GitHub:

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