Blog Posts
Scaling XGBoost: Training Classification Models with Thousands of Classes
Resolve XGBoost out-of-memory errors when training large-scale, multi-class classification models on GPUs. This guide covers why memory issues occur and provides three robust strategies—CPU training, One-vs-Rest (OvR), and Hierarchical Softmax—to scale your machine learning pipeline effectively.