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sorry for bombarding you with posts currently. I guess it's a symptom of the learning phase.
Anyway, when fiddling around with support vector machines, I often run into the problem, that its keeps iterating forever (or at least for many hours) without getting any further. This is only the case for certain kernel types, other complete the analysis within minutes. I think this because they (the slow ones) don't manage to converge. What is the right thing to do in such a situation? I can think of two adjustments:
- Using a higher convergence epsilon
- Decreasing max iterations
Maybe this would also be ideas to implement: A "stop sub process button" in addition to the "stop everything button". This would only exit the current operation (eg. the validation of the current kernel type) and move on. The best parameters of the operations that were not canceled will be chosen.
Thanks for your advise