CatBoost is a machine learning method based on gradient boosting over decision trees.
Main advantages of CatBoost:
All CatBoost documentation is available here.
Install CatBoost by following the guide for the
Next you may want to investigate:
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If you want to evaluate Catboost model in your application read model api documentation.
Latest news are published on twitter.
Anna Veronika Dorogush, Andrey Gulin, Gleb Gusev, Nikita Kazeev, Liudmila Ostroumova Prokhorenkova, Aleksandr Vorobev "Fighting biases with dynamic boosting". arXiv:1706.09516, 2017.
Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin "CatBoost: gradient boosting with categorical features support". Workshop on ML Systems at NIPS 2017.
© YANDEX LLC, 2017-2019. Licensed under the Apache License, Version 2.0. See LICENSE file for more details.