removed lbfgs and conjugate gradient from nnetoptim, can access those directly from scipy.optimize.minimize() - a lot cleaner to work with, especially now that i can just pass it a function to calculate the cost and gradient, as opposed to having two functions that separately do each. also started applyiing nnets to the london dataset- this will be my playground for a bit to see how well i can do. need to add k-fold cross-validation to the mix