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description= CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library.;
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catboost installation overview python package installation catboost for apache spark installation r package installation command line version binary build from source key features training parameters python package catboost for apache spark r package command line version applying models objectives and metrics model analysis data format description parameter tuning speeding up the training data visualization algorithm details faq educational materials development and contributions contacts catboost catboost is a machine learning algorithm that uses gradient boosting on decision trees it is available as an open source library training training training on gpu python train function cross validation overfitting detector pre trained data categorical features text features embeddings features applying models regular prediction с and c java node js rust calculate metrics staged prediction applying the model in clickhouse model analysis feature importances object importances metrics implemented metrics user defined metrics recovery recovery visualization tools jupyter notebook tensorboard exporting models coreml python or c json onnx pmml educational materials tutorials reference papers videos
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