MISC be less verbose about fractional results in inference
ENH add inference cache parameter and latent iteration parameter to latent ssvm.
ENH rename variable "slack" to violation in one-slack ssvm, cache psi and loss when caching inference results, try to compute the primal for better stopping / tol, but failed :(
ENH some more functionality in find_constraint function: maybe we don't want to compute dpsi, only psi.
DOC some caching strategy things in one-slack ssvm
Update cache only when we did find a new constraint.
TEST inference cache: sometimes the cach is hit!
ENH don't recompute psi when hitting the cache
MISC remove senseless line in setup.py
ENH make sure inference cache contains each y_hat only once (wasting space in the cache otherwise).
FIX many loss_curve_ typos
FIX don't break if we only found a weak constraint in the cache.
FIX correct stopping criterion for one-slack ssvm!