DidacticBoost: A Simple Implementation and Demonstration of Gradient Boosting
A basic, clear implementation of tree-based gradient boosting
designed to illustrate the core operation of boosting models. Tuning
parameters (such as stochastic subsampling, modified learning rate, or
regularization) are not implemented. The only adjustable parameter is the
number of training rounds. If you are looking for a high performance boosting
implementation with tuning parameters, consider the 'xgboost' package.
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