Preliminary step to add crfsuite support back into two pass
Alert user when trying to predict on 0 files
adjust model.py to use crfsuite's SWIG wrapper
Merge branch 'master' into machine-learning

Conflicts:
	clicon/model.py
get rid of self.type
Fold CRF back using python-crfsuite (with model file workaround)
Add CRF installation to install.sh
modify install.sh to use machine-learning branch (until merged back to master)
Set crf to use default parameters
Added sanity checks for first pass predictions
Modified install script so it doesn't git clone the project
Reorganized features_dir module
Changed features/ to features_dir/
Extend returned values (for easier testing of first pass results)
Extend for first pass development
Added crf back into first pass
Merging machine-learning branch
Merge branch 'master' of https://github.com/mitmedg/CliCon