1. Machine Learning with ClickHousedata › Easy to use CatBoost advantages › Good quality for default parameters › Sophisticated categorical features support › Models analysis tools 44 / 62 Gradient Boosting 45 / 62 Gradient Boosting 46 / 62 Gradient Boosting 47 / 62 Gradient Boosting 48 / 62 Numerical features 49 / 62 Categorical features 50 / 62 Algorithm comparison 51 / 62 Prediction time 52 / 62 Applying CatBoost models https://github.com/clickhouse/ClickHouse 61 / 62 Thank you! QA 62 / 62 Symmetric trees 63 / 62 Categorical features support 64 / 620 码力 | 64 页 | 1.38 MB | 1 年前3- 0. Machine Learning with ClickHouse data › Easy to use CatBoost advantages › Good quality for default parameters › Sophisticated categorical features support › Models analysis tools 44 / 62 Gradient Boosting 45 / 62 Gradient Boosting 46 / 62 Gradient Boosting 47 / 62 Gradient Boosting 48 / 62 Numerical features 49 / 62 Categorical features 50 / 62 Algorithm comparison 51 / 62 Prediction time 52 / 62 Applying CatBoost models https://github.com/clickhouse/ClickHouse 61 / 62 Thank you! QA 62 / 62 Symmetric trees 63 / 62 Categorical features support 64 / 620 码力 | 64 页 | 1.38 MB | 1 年前3
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