Shypd.aiThe largest open index of AI toolsdecision-forests is an open-source library for training, serving, and interpreting Decision Forest models within TensorFlow. It supports various models like Random Forests and Gradient Boosted Trees for classification, regression, and ranking.
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TensorFlow Decision Forests (TF-DF) is a powerful open-source library designed to integrate state-of-the-art Decision Forest models directly into the TensorFlow ecosystem. It enables users to train, serve, and interpret models such as Random Forests and Gradient Boosted Trees for tasks like classification, regression, and ranking. TF-DF is built upon Yggdrasil Decision Forest (YDF), a high-performance C++ library, ensuring compatibility between models trained in TF-DF and YDF. While TF-DF is available on Linux and Mac, Windows users can access its functionalities via WSL+Linux. The project encourages migration to YDF for enhanced functionality and speed, providing a robust solution for machine learning practitioners.
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