XGBoost: A User Guide🔗ℹ

This guide is a task-oriented tour of the high-level xgboost API. It follows the same arc as the Python package introduction — loading data, setting parameters, training, predicting, and inspecting a model — adapted to Racket. For the precise contract of every procedure, see the xgboost API reference.