Sets separated; s, w, k errors are, respectively, ~.26, .24, .22
KFolds loops implemented, now using 'word' instead of 'char', performance much worse
Pushing for Pawel
Clip results to 0, 1 .. performance still bad
Working algorithm; s, w, k RMSE are .20, .21, .12
Pickler function added: errs = {s: 0.205, k: 0.1167, w: 0.215}
Abstract everything. Currently achieving: errs = {s: 0.205, k: 0.1167, w: 0.215}
CV loop now done internally in generic model function (model_cv); with k=10, achieving: err = {s: .204, w: .214, k: .116}
Stat quo + cosmetic changes
Stat quo + cosmetic changes + assemble_model_cv_preds in comments
.gitignore updated
Stat quo + WIP