Learning to Rank with XGBoost and GPU – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Liangcai Li <![CDATA[Learning to Rank with XGBoost and GPU]]> http://www.open-lab.net/blog/?p=16413 2022-08-21T23:39:46Z 2020-02-14T23:19:40Z XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by...]]> XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by...

XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by combining multiple weak models. Weak models are generated by computing the gradient descent using an objective function. The model thus built is then used for prediction in a future inference phase. Learning To Rank (LETOR) is one such��

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