Missing error context

[AdrianSosic]

Noticed for attempted hybrid optimization with FPSRecommender but probably applies to many other incompatible settings as well.

Minimal example

from baybe.parameters import NumericalContinuousParameter, NumericalDiscreteParameter
from baybe.recommenders import FPSRecommender
from baybe.searchspace import SearchSpace

searchspace = SearchSpace.from_product(
    [
        NumericalDiscreteParameter("x", [0, 1]),
        NumericalContinuousParameter("y", [0, 1]),
    ]
)
FPSRecommender().recommend(1, searchspace)

NotImplementedError: Hybrid recommendation is not implemented.

Expectation

Should explain what exactly is incompatible.

[Scienfitz]

I would rather "fix" this by having an automatic discretization of continuous parameters, after which this error would become obsolete because the algo could can be applied to all spaces

[AdrianSosic]

For FPS it would be an option, but not for other execution paths, so I think it's still an issue. That is, the error should be caught and enriched one level higher

[Scienfitz]

what additional information do you want to include by raising this to a higher level?
Wouldn't improving of the error message simply suffice?