Yep, customization is usually the answer. Or something that exists in one ecosystem that is not viable to deploy (looking at you R ecosystem). For example, its

Yep, customization is usually the answer. Or something that exists in one ecosystem that is not viable to deploy (looking at you R ecosystem). For example, its possible, and common, to have a penalized linear model (or logistic model) where just a part of the features parameters to be fit are subjected to the penalization hyper paramenter. Or more complex and costumized loss functions, corresponding to zero inflated or truncated distributions. Those are very cool and sometimes fit to problems directly.