Supervised Models - Gradient Boosting Machine
GMB is an ensemble approach which stackes Machine Learning models. Each model learns the error of the previous ones, with the aim of correcting it. Thanks to the MODL approach, it is possible to implement a GBM without parameters, whose stacking of models stops automatically. Thus, the models provided by Edge ML will gain even more precision without sacrificing their robustness.