scikit-learn/scikit-learn — comment on commit b3839837cf949db8e9122807578ebce6bf3d6fb4
File:  line 0
By mblondel:

> That's simply meaningless: it breaks cross-validation where the number of
> samples vary accross folds, or between parameter tuning and training the
> final model.

It would also break the refit at the end (with the entire dataset).

I wonder if scaling_C makes sense only for unconstrained primal
algorithms or also for box-constrained dual algorithms...