Updated the linear models and workflow to include full glmfit and elastic net.
Reduced threshold for discretization
Fixed a bug in adjusted_discretize.R
Adjusted models and output to have elastic net with alpha = .5 along with lasso results. So far only implemented for the 6 hour Uridine high comparison. It the same variables are being selected for elastic net, though AUC is improve, suggesting the Ridge component of the regularization is not effecting variable selection when lambda is chosen by CV. For some reason, more one extra variable was selected for fixed variable count elastic net model (where lambda is set so the number of variables match that of the markov blanket)