ENH Make relaxed inference a kwarg, so we can set it via the new dict interface. This makes it possible to choose between overgenerating inference and undergenerating inference (via rounding) for lp and ad3..
implement "switch_to" for NSlackSSVM, add tests
make n_slack switch also when the objective converged
rename pbl to model in example
some performance enhancements in crammer-singer model
really rename pbl to model in example :-/
Enhance latent SVM example
Merge pull request #42 from vene/update_examples

[WIP] Clean up examples
fix logger call in n_slack, more sensible default value for tol.
more sensible defaults for one_slack_ssvm
cosmit easier to read verbosity setting
call intitialize in learners
starting to play around with automatically inferring n_features and n_states. latent stuff still gives me headaches.
make EdgeFeatureGraphCRF work with infering of n_states, n_features
introduce _set_size_psi and _set_class_weight for less code duplication.
make latent models work with improved interface, some multiple inheritance hacking :-/
FIX in latent svms, the model is initialized in the LatentSVM not in the base_svm. + minor fixes
refactor set_class_weight, make unstructured models have new interface.
fixes for binary svm
fix another test