>    This function both returns the log-likelihood, and the quantity optimized
>    by the algorithm, which is the opposite of the log-likelihood, penalized.
>    A good common word for these two unrelated quantities was "score". In the
>    case of the log-likelihood, it matches scikit-learn's convention.

I'd call it "..._scores", in that case.