- Initialize model with only user-defined hyperparameters, with the rest set to default values
- Automatic formatting of inputs and data, including normalization of inputs
- Keyword 'train' for automatic test/train splits
- Keywords added to model.coverage3() for user control of plotting
- Storage of various info such as inputs, data, normalization scale factors, etc. as attributes of model
- Function model.clear() for removing attributes from model that are not hyperparameters, to enable sweeping / iterating through datasets without needing to create a new FoKL class