Hello,

Sorry, if a question doesn't make sense, I'm new to structured prediction.

In regular SVMs, say scikit-learn implementation, you can identify support vectors, meaning you can identify which samples in training data are support vectors.

If it makes sense, is it possible to identify support vectors in structured SVM? If yes, how do we do that in pystruct?

Thanks in advance