Working genModel.py #moretodo

genModel.py can now generate a model for each file. Some hiccups; as
code was made to use NB bagofwords, does not count each instant of an
n-gram.

However, we might later rank by counting bigram features for a unigram,
which still accounts for some frequency without favoring repetition too
much. So might not change this if behavior gets desirable results.

TODO: modeAll() code to generate collection model