Function Models and Ensemble Techniques

This describes how traditional ensemble methods can be reinterpreted as native functional constructs within the morph (function) model architecture. Each ensemble strategy—Mixture of Experts, Bagging, Stacking, and Boosting—maps naturally to function composition, addition, or higher-order transformation. We further show how these constructions admit a functorial interpretation, clarifying their compositional semantics and stability properties. Note the efficiency and simplicity compared with traditional models which require retraining.