improve chain model inference speed when using interesting tensors like from RDA/l2sgd by calculating transition scores only once
set better default l2 regularization constant (consistent with e.g. MALLET)
fix bug in sq eps insensitive loss, add label validation to classifier examples, cleanup
greatly improve efficiency of tensor*scalar weights, as well as implement caching of twoNormSq for Pegasos
fix typo
app.classify: fix bug in the svm trainer regarding left multiply
app.classify: fix left multiply bug in svm
util: fix bug in serializing / deserializing lists of arguments
util: trying to work around canvas weirdnesses in the hyperparameter searcher
app.nlp.parser: better options for transition parser
oops
changed over to PerformanceChecking.assertAccuracy in the nlp-resources-maintained trainers
rename
la: fixing tensor weirdness
finishing off PerformanceChecking
Merge branch 'master' of https://github.com/factorie/factorie
switched to scala 2.10.2
commenting out exception if accuracy went up, for now
Merge pull request #82 from davidBelanger/master

small nlp changes for accuracy monitoring + scala update to 2.10.2
app.nlp.parse: playing around with graph projective parser