I would like to train my datasets in
scikit-learn but export the final Gradient Boosting Regressor elsewhere so that I can make predictions directly on another platform.
I am aware that we can obtain the individual decision trees used by the regressor by accessing
regressor.estimators.tree_. What I would like to know is how to fit these decision trees together to make the final regression predictor.