Expand description
Gradient boosting for regression (ISL ch 8.2.3) — fit an additive ensemble of
shallow CART trees, each trained on the residuals of the running prediction
under squared-error loss (so the negative gradient is the residual). Predictions
are init + ν·Σ treeₘ(x) with learning rate ν. Built on super::decision_tree.
Structs§
- Gradient
Boosting - A fitted gradient-boosting regressor.