In a model stack, as introduced by Wolpert
(1992),
an adjucating model learns the best way to combine the predictions of
multiple base models. In MLJ, such models are constructed using the
Stack constructor. To learn more about stacking and to see how to
construct a stack "by hand" using Learning Networks, see this Data Science in Julia
tutorial
MLJBase.Stack