Train gradient-boosted decision trees (GBDT) with XGBoost.

Train XGBoost models in ZenML

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. With ZenML's XGBoost integration, you can load, train, and deploy XGBoost models within your ZenML pipelines.