Initial commit
Added data
Added example code using TDIDF of document boilerplate.
Added code to investigate the data in different variables
made investigation printout more informative
Added some notes to the TDIDF example
Categorised the columns in the data
Added a file for different models
Added log regression and SVC models for numeric data
Improved API for TFIDF model, added basic caching, but it uses more memory than I thought
Generalised the classification models to inherit a generic base clase
Stacking model works. Need to add classifier for categorical data
Added a model for categorical data
Added random forest classifier
I think there may be an error with the stacking model, since it is performing worse than both
the RF and TFIDF models individually
Stacker switched back to a logistic regression model, but is still performing worse than individual models
Removed intercept fitting from model
Simple weighting of predictions performed better than stacking model
Added functions to make a submission file
Added a file to test word stemming with NLTK
Added stemming. Removed unused models from models.py
Changed stemming used. Using only stemmed models