XGBoost on a Mac
Gradient-boosted decision trees (high-accuracy tabular ML) · ML Workbench
XGBoost is a fast, scalable gradient-boosting library that wins many tabular-data competitions — with GPU training, distributed support (Dask/Spark/Ray) and bindings for Python, R and the JVM. pip install xgboost. Not a server; pairs with scikit-learn and MLflow.
Run XGBoost with FrontierStack
FrontierStack lists XGBoost in its ML Workbench catalog. Install or connect it from one place, then monitor its status, ports and certificate, secure it with the firewall and Malware Audit, and back it up.
Run it all from one Mac app.
FrontierStack installs, monitors and secures the whole stack — locally and across your fleet — from a single native macOS app.
Download FrontierStack