More major changes.

This version adds numerous changes, both to the feature extractor and the
SQL learner framework.

- Features being extracted are now being binned and normalized while
extracting (using some data learned by looking at all of March 2013's data
- there are some outliers to all normalization, but should be pretty
  reasonable.)
- SQL extraction is now the default.
- Game timestamp data is now being extracted.
- In SQL learning, game second (the second when the game started) is now
  used to differentiate usage groups rather than the use column. It and
  randomizer are now deprecated.
- A preliminary predictor is now ready in python, and can load backprop
  models exported by the SQL learner.