FIL - RAPIDS Forest Inference Library

Note

This module is deprecated. New code should use nvForest instead.

The Forest Inference Library (FIL) is a component of cuML, providing a high-performance inference engine designed to accelerate tree-based machine learning models on both GPU and CPU. FIL delivers significant speedups over traditional CPU-based inference while maintaining compatibility with models trained in popular frameworks.