larsmans/scikit-learn — comment on commit b39d308dfda579ff4df29d2655485362ec77f5fd
File: sklearn/svm/base.py line 236
By amueller:

I think so.

Double checking what the code does would be a good idea, though.

To put SVRs in a nutshell (and ignoring fancy hilber space stuff):
The regression analog to the hinge loss is the epsilon-insensitive loss where you have zero loss if your prediction is less than epsilon from the true y.

It's just a linear predictor with this loss function so I think predict just gives w * x + b, which is what decision function in SVC gives.