Stacking


Synopsis

Uses the first inner learner to build a stacked model on top of the predictions of the other inner learners.


Description

This class uses n+1 inner learners and generates n different models by using the last n learners. The predictions of these n models are taken to create n new features for the example set, which is finally used to serve as an input of the first inner learner.


Input


Output


Parameters


ExampleProcess