* feat(Models): added StaticAverageModel for average ensembling * feat(Models): made sure we only pipe in predictions to StaticAverageModel, added StaticNaiveModel as potential baseline * chore(Models): removed unnecessary commented out code
Model
* feat(Model): added own `Model` class, SkLearnModel wrapper and StaticMomentumModel * fix(Tests): added missing Model variable * fix(Tests): added missing clone method()