changed some things in corefgazetteers to be slightly more precision biased. Also, changed test-time evaluation code in DepParser2 to do .par.foreach
Rewrote DecisionTree/Boosting and added Random Forests in the style of Alex's classifiers
add apache commons math versions of loggamma/digamma
merge
util.Hyperparameter: use a UUID in the name of the log directory.
app.nlp.parse.DepParser2: generating the training examples in parallel
util: hyperparameter executors using datetime instead of UUID for uniqueness
app.nlp.parse.DepParser2: using Trainer.onlineTrain
tutorial: minor note
app.nlp.parse.DepParser2: when optimizing hyperparameters let's use 20g in the slaves
app.nlp.parse.DepParser2: when optimizing hyperparameters let's use 40g in the slaves
adding a very simple entity type annotator to factorie.
app.nlp.parse.DepParser2: adding minibatching and parallel online training for a big speedup
merge
util: fix print
test: printing the classifier name in the decision tree test