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YDF documentation - YDF documentation
Explore YDF documentation to learn how to train, evaluate, and deploy decision forest models like Random Forests using this open-source machine learning library.
Build and deploy decision forest models easily
YDF documentation is your go-to resource for working with Yggdrasil Decision Forests, a library that helps you train, evaluate, and use decision forest models such as Random Forests and Gradient Boosted Decision Trees. The docs cover everything from installation and usage examples to advanced features like custom loss functions and cross-validation, making it easy to get started or deepen your understanding.
Whether you prefer Python, C++, CLI, JavaScript, or Go, you'll find clear instructions and helpful tips to guide you through each step of the process. The site is designed for developers, data scientists, and anyone interested in machine learning, offering practical examples and a thorough FAQ to make your journey smoother.
With this documentation, you can confidently build, interpret, and productionize powerful decision forest models on a variety of platforms and operating systems. It's a handy resource to keep bookmarked as you explore machine learning with YDF.
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