How to Best Tune Multithreading Support for XGBoost in Python - Machine Learning Mastery

The XGBoost library for gradient boosting uses is designed for efficient multi-core parallel processing. This allows it to efficiently use all of the CPU cores in your system when training. In this post you will discover the parallel processing capabilities of the XGBoost in Python. How to Best Tune Multithreading Support for XGBoost in Python Photo by Nicholas A. Tonelli, some rights reserved. XGBoost is the high performance implementation of gradient boosting that you can now access directly in Python.