Test neural net with pybrain automated network builder
Update neural.py with better statistics
Add test with TanhLayer
Add updated noopt csv files
Add a new feature vector based off chemical fingerprinting

This commit adds the dependency of RDKit.
Store test/train error on NN clf
Add back ability to build NNs from param sizes
Add test of multiple permutations of architectures for NN clf
Use fingerprint feature vector for training NN
Add script to build the datasets from the raw data
Move itertools import to the top of neural.py
Test neural net with pybrain automated network builder
Update neural.py with better statistics
Add test with TanhLayer
Add a new feature vector based off chemical fingerprinting

This commit adds the dependency of RDKit.
Store test/train error on NN clf
Add back ability to build NNs from param sizes
Add test of multiple permutations of architectures for NN clf
Use fingerprint feature vector for training NN
Add script to build the datasets from the raw data