Posts tagged large scale model training

Scaling Hyperparameter Optimization With XGBoost, Optuna, and Dask

XGBoost is one of the most well-known libraries among data scientists, having become one of the top choices among Kaggle competitors. It is performant in a wide of array of supervised machine learning problems, implements scalable training through the rabit library, and integrates with many big data processing tools, including Dask.


Read more ...