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gradient tree boosting implementation

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Mahmoud Zeydabadinezhad
Mahmoud Zeydabadinezhad on 18 Oct 2017
Commented: denny on 4 Apr 2018
I need to implement gradient boosting with shrinkage in MATLAB. I'm allowed to use the built-in function(s) for decision tree. In gradient boosting ( there is a model update step which updates the current model as the sum of previously learned models and a weighted base learner (e.g. tree). My question is that if I use the fitrtree() function to train a base learner in each iteration, then how I should add the trained tree to update the model? The output of fitrtree() is a Regression Tree object and I don't know how to add two Regression Tree objects.
Thank you,

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