Remove scratch directory from remote repo and git tracking.
Rename tweets.db to reflect ratios of 72-28 np-p, move hashtag pkl files into politwit dir.
Pickled classifiers from ipynb scripts moved from scratch dir to politwit for use in scoring.
Move hashtag pkl files to root directory.
Download python files from ipynb and store in scripts/, as these scripts are for training classifiers and will not be used in production.
Rename tweets.db using ratio of 72-28 np-p tweets, to indicate contents.
Cleanup file moves (next time use git mv)
Storing backup copy of 'scratch' directory in logregression branch, because of all the work with ipynb files that I'd like to track.
Removed hashtag counter, added in Bernoulli classifier and Tfidf vectorizer.

 - Added paths to pickle files in flask_server
 - Added output for "bookstein" to /ajax/testing route
 - Pass classifier and vectorizer parameters to scoring function
 - Update scoring function in friends.py to use unpickled classifier
Return a lower-case, text-only list from get_timeline function instead of returning a tweepy cursor object.
Change database in model.py to point to 58-42-ratio database for use with Bernoulli classifier.
Pickled Tfidf vectorizer from Bernoulli ipy notebook.
Modify text accompanying score (as percentage) to read 'political tweets'
Refactor data_viz and app.js to clear existing data after each new visualization.

This clears headlines, twitter timeline widget, and svg from page on new submit.