Pacakge bits

Merged in @audy's pass, and put some structure in place for the code. The api/cli distinction feels nice here, though I think there is more room to decompose... was using this as an opportunity to play with some ideas prior to dropping click into qiime

Note, travis and coveragerc are included but no unit tests have been written and haven't hooked up services yet

@audy, using the `HashingVectorizer` is _awesome_. I'm not seeing the memory spike you mentioned, but instead seeing a runtime issue that is driven by the serialization (profiling show'd stupid amounts of time being spent in `ravel` in `_mul_multivector` in scipy's `compressed.py` or something. The notebook was a few orders of magnitude faster by doing the kword transform external, but I agree with you that this is likely a bug. 

Last, two things, the resulting classifications aren't great yet but we're near in a place to really start poking and proding and this is currently dependent on biocore/scikit-bio#643
Yes/no on taxonomy. Yes in that it is taxonomy (unless we want this agnostic...) but no in that they are class labels. So at some level, we need to decide if we want the language to reflect the machine learning, or the biology

Good point on the writing things