Pipeline set in place for multilabel classification
88 percent accuracy.. need to figure out a way to make it work with decimals
Off by one error on a range.. 94 percent accuracy
Figure out how to merge with neural network output to submit to Kaggle
Start testing against actual test data
Unpipelined stuff.. need to combine with mlp stuff to submit
Time to merge and stitch
Merge branch 'scikit_preprocess', and submitted.

Conflicts:
	Makefile
	preprocess.py