ENH: randomized init for subgradient latent ssvm.
wohoo Subgradient Latent CRF can do example :)
FIX scaling of ||w|| in subgradient objective, realized I need cummulative penalty
ENH add latent node crf
EXMPL latent svm as crf improved a bit
ENH more robust strategy for dropping constraints in 1-slack ssvm
test latent nodes, example
Get rid of "base loss" in LatentSSVM, don't expect H to be an array.
ENH Forget old alphas, otherwise we need to much memory.
EXMPL nice plots for latent node svm
FIX remove base_loss from SubgradientLatentSVM
EXAMPLE SubgradientLatentSVM works with random init :)
Move 2x2 dataset into dataset file
Make 2x2 latent node test pass
FIX subgradient SSVM doesn't stop when no more constraints are found.
Add momentum and inactive window to LatenSSVM. This is clearly a bad interface :-/
Add "break_on_no_constraints" to subgradient methods. don't want them cycling and us waiting
TST for latent subgradient method on 2x2 dataset
TST 2x2 also works on random init with latent subgradient method
FIX remove debugging variable that has been eating up my memory!
ENH test "positivity_constraint" which actually is a negativity constraint, in OneSlackSSVM