Databricks Community

Problem Statement Technologies used: Ray, GPUs, Unity Catalog, MLflow, XGBoost For many data scientists, eXtreme Gradient Boosting (XGBoost) remains a popular algorithm for tackling regression and classification problems on tabular data. XGBoost is d...

Introduction Ray on Databricks became generally available in April, 2024, and in a little over a year, we have seen 1,000+ customers initialize hundreds of thousands of Ray clusters. While there are several ways to run production-grade Ray workloads ...