Gradient boosting machines construct an additive model of weak learners (regression trees) by performing gradient descent in function space. At each iteration, a tree is fit to the negative gradient ...

An XGBoost-like gradient boosting implementation using only Python and NumPy. Features Newton boosting (second-order optimization), histogram-based split finding, L1/L2 regularization, and custom loss ...