file scaffolding
src directory
Initial implementation of ingest_datasets.py
Typos
Account for header in dataset.
Add scaffolding

classifier.py -- classifier API
classifier_factory.py -- factory function that will return classifiers
Add abstract classifier class
rename classifier to abstract_classifier
Add classifiers folder
Add DataCleaner interface

DataCleaners will take raw records read in from the dataset and will
format them in such a way that they play well with whatever classifier
is being used.

Each classifier implementation will specify the format in which it wants
its data. If your particular dataset's format doesn't match the classifier's
format, then you'll write a DataCleaner to reformat it.
abstract_data_cleaner docs
Couple abstract classes with their respective folders.
rename src/ --> classify/
Add NaiveBayesSentiment support to classifier_factory
reformat classifaction_harness using vim-flake8
use tabulate to print out classification results
add classifier_factory
Classifier objects must now list all possible labels.
initial implementation of naive_bayes_sentiment, classification_harness pipeline
Cleanin gup code and fixing bugs