CatBoost - state-of-the-art open-source gradient boosting library with categorical features support
CatBoost is a high-performance open source library for gradient boosting on decision treesReduce time spent on parameter tuning, because CatBoost provides great results with default parametersImprove your training results with CatBoost that allows you to use non-numeric factors, instead of having to pre-process your data or spend time and effort turning it to numbers. Train your model on a fast implementation of gradient-boosting algorithm for GPU. Use a multi-card configuration for large datase...
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