EXAMPLE: in binary_svm, all learners should get the same C.
ENH set default tol for both qp based ssvms to -10, i.e. don't stop on convergence of the dual, wait for no more constraints.
Implement batch_size=-1 as batch learning for n-slack version
Implement ssvm loss as macro average
FIX set cvxopt verbosity in the right place. otherwise it might be messed up since creating the model.
FIX now that tol is -10 by default, we can uncomment in 1-slack ssvm
EXAMPLE binary svm remove unnecessary tol argument
EXAMPLE Add multi-class svm example