Refactor initialize_machine_learner method in twitter_api.rb
Delete unused tweet hashtag models
Marginal progress on unit tests
Add shoulda-matchers to Gemfile
Complete unit tests for user model
Add validations to user model
Complete unit tests
Add validations to models
Implement user_with_followers_and_machine_learner factory in all feature specs
Create lib/emotion_timeframeable.rb

Abstract shared behaviors from user.rb and follower.rb into new module
called 'EmotionTimeframeable'
Modify user_tweets_modal_functionality
Modify update_machine_learner method in dashboard_controller
Remove problematic validations in user, follower, and machine_learner model
Implement javascript enabling user to assess their own tweets

- Add ajax call to application.js
- Modify _dashboard_iconfield.html.haml
- Modify user_assesses_own_tweets_spec.rb
Refactor acceptance and unit tests
Finalize javascript for 'user assesses own tweets' user story
Configure RVM in Gemfile
Incomplete specs for 'user_assesses_own_tweets' user story
Change data types in machine_learners table

- serialized hashes from 'string' to 'text'
Implement bayesian functionality in dashboard_controller and machine learner model