Convert scikit-learn SVM model to LibSVM

Question

I have trained a SVM (svc) using scikit-learn over half a terabyte of data. The model is working fine and I need to port it to C, but I don't want to re-train the SVM from scratch because it takes way too long for me. Is there a way to easily export the model generated by scikit-learn and import it into LibSVM? Internally scikit-learn uses LibSVM so theoretically it should be possible, but I haven't been able to find anything in the documentation. Any suggestion?

score 2 · Accepted Answer · edited May 23 '17 at 12:29

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Is there a way to easily export the model generated by scikit-learn and import it into LibSVM?

No. The scikit-learn version of LIBSVM has been hacked up severely to fit it into the Python environment and the model is stored as NumPy/SciPy data structures.

Your best shot is to study the SVM decision function and reimplement it in C. The support vectors can be obtained from the SVC object as NumPy arrays, which are easily translated to C arrays.

edited May 23 '17 at 12:29

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answered May 22 '14 at 08:23

Fred Foo

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Reimplementing the decision function doesn't seem particularly problematic, thanks for pointing me to the source code. – Slartibartfast May 22 '14 at 08:59
can you please share the decision function implemented in C – root Apr 23 '22 at 12:34

Convert scikit-learn SVM model to LibSVM

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