Feature description

We would like to have some kind of way that allows to ensemble over hyperparameters. However, we should not train the model multiple times in this case.

Implementation idea

Some kind of wrapper function that takes ranges for some kwargs and the PAL class with the models.
We will propagate all PAL classes, however copy the model states over (or the results). This will also allow to keep updating beta.