Shypd.aiThe largest open index of AI toolsCatBoost is an open-source Gradient Boosting on Decision Trees library for machine learning tasks like ranking, classification, and regression. It supports Python, R, Java, and C++, offering fast computation on both CPU and GPU.
Trending
About
CatBoost is a high-performance, open-source Gradient Boosting on Decision Trees library designed for a variety of machine learning tasks, including ranking, classification, and regression. It offers superior quality compared to other GBDT libraries on many datasets and boasts best-in-class prediction speed. CatBoost supports both numerical and categorical features, and provides fast GPU and multi-GPU support for out-of-the-box training. It also includes built-in visualization tools and enables fast, reproducible distributed training with Apache Spark and CLI. The library is compatible with Python, R, Java, and C++, making it a versatile tool for developers and data scientists.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
