This release includes major changes. The main changes are:
- each algorithm now automatically determines optimal hyperparameters; this includes the pre-scaling of the training data for the gpr and the optimal "epsilon" in all Pareto reflections
- storing the evaluations is now automatically done by the blackbox function interface
- there is now an express version which wraps the most common MOO algorithms of Paref
- there is now an info module providing information about the pareto front and the training process which guides the further optimization
- you can now access the best fitting Pareto points corresponding to some Pareto reflection within the interface
- saving and loading is now included within the blackbox function interface
- lhc sampling is now excluded by the moo algorithms; this is because it was misleading when specifying the max number of evaluations