* feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit()
* fix(Sweep): removed unused `other_features` parameter that fails sweep
* feat(Config): using preset names for defining feature extractors again
* fix(Tests): fixed model stub classes
* feat(Models): added `debug_future_lookahead`, sped up LogisticRegression & DecisionTreeClassifier
* feat(Training): added ability to train on expanding_window
* feat(Models): tuned some hyperparameters, added expanding_window to sweep config, fixed tests
* feat(Models): tune parameters of ensemble models
* fix(Config): use window size that works with ensembling