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serializationcomputer-visionsvmvlfeat

VLFeat SVM storage

I am working with VLFeat and I have code that trains a linear SVM on my dataset. I would like to save the SVM to a file somehow so that I can load it up later and test it on several other datasets. What is the best way to do this?

edit: I am using the C++ API. Is it enough to save the model by using vl_svm_get_model? Would a simple serialization of the bytes of the svm struct work?

Solution

  • I am not using this approach however it should be sufficient to save the model and bias terms to a file for later testing