yggdrasil-decision-forests

Yggdrasil Decision Forests (YDF) is an advanced library designed for training, evaluating, interpreting, and serving various ensemble learning models such as Random Forests and Gradient Boosted Decision Trees. Its primary use case lies in the efficient handling of machine learning tasks, offering features like model evaluation, partial dependence analysis, and benchmarking capabilities while supporting both Python and C++ APIs. The framework emphasizes extensibility and speed, making it a valuable tool for data scientists and machine learning engineers.