Sparse Forests with FIL – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Andy Adinets <![CDATA[Sparse Forests with FIL]]> http://www.open-lab.net/blog/?p=31794 2022-08-21T23:51:42Z 2021-05-21T20:30:00Z Introduction The RAPIDS Forest Inference Library, affectionately known as FIL, dramatically accelerates inference (prediction) for tree-based models, including...]]> Introduction The RAPIDS Forest Inference Library, affectionately known as FIL, dramatically accelerates inference (prediction) for tree-based models, including...Picture of moss-covered trees in a forest.

This post was originally published on the RAPIDS AI blog. The RAPIDS Forest Inference Library, affectionately known as FIL, dramatically accelerates inference (prediction) for tree-based models, including gradient-boosted decision tree models (like those from XGBoost and LightGBM) and random forests. (For a deeper dive into the library overall, check out the original FIL blog.

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