Importing scikit-learn SVM model to LIBSVM

[Afef00]

Hello, I have trained my SVM model for MNIST classification in Python using scikit-learn( Grid searchcv). I need to implement the SVM prediction in C language using the model parameters extracted in Python. I was wondering is there any way to import the trained model to LIBSVM ? Is it possible to use the model parameters (from python) in svm-predict of LIBSVM? Regards,

[cjlin1]

You can check sources of libsvm python interface about the python model structure

On 2022-04-25 20:06, root wrote:

Hello, I have trained my SVM model for MNIST classification in Python using scikit-learn( Grid searchcv). I need to implement the SVM prediction in C language using the model parameters extracted in Python. I was wondering is there any way to import the trained model to LIBSVM ? Is it possible to use the model parameters (from python) in svm-predict of LIBSVM? Regards,

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[rotkiv1205]

I'm also curious about this and didn't get the answer? 😄

[cjlin1]

What's the structure of the output model of GridSearchCV? If this model is different from the one produced by libsvm, then it's not possible to directly call libsvm for prediction. I think the easiest way is that after GridSearch returns the best configureation, re-train the SVM model by libsvm python interface.