regularization path for SVM in python

Question

I have looked around to find a R's svmpath equivalent for sklearn or python. Did I overlook it or do I need to go with R for this task.

Thanks

Answer 1

Afaik there is no path algorithm. The usual thing would be to do a grid search over possible C. There will be a path algorithm for l2 loss in the linear case in scikit-learn soon (possibly this week).