Core Boosting From Scratch
Gradient Boosting Regressor From Scratch
Discrete AdaBoost with Decision Stumps
Newton-Step Log-Loss Gradient Boosting
LAD Gradient Boosting Regressor From Scratch
Multiclass Softmax Gradient Boosting Step
Huber Loss Gradient Boosting Step
Quantile Gradient Boosting with Pinball Loss
Split Finding Tree Growth
XGBoost Leaf Weight and Split Gain
Oblivious Tree Prediction
CatBoost Ordered Target Statistics Encoding
Sparsity-Aware Split Finding with Default Direction
Leaf-Wise Best-First Tree Growth
Stochastic Gradient Boosting with Row and Column Subsampling
Quantile Histogram Pre-Binning with Missing Bin
Gradient-Based One-Side Sampling (GOSS)
Histogram-Based Split Finding with Subtraction
Learning Rate Sweep with Early Stopping
Scale Pos Weight vs Balanced Class Weights
Aggregate Feature Importance Across Boosted Trees
Early Stopping With Precision at K
Verify Monotonic Constraint on Boosted Ensemble
Vectorised Gradient Boosted Ensemble Inference