CatBoost is a fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. cuDF is a GPU DataFrame library for loading, joining, aggregatin...
Based on this basic assumption of the algorithm, wedefine the design goal of the first stage to support the parameter scale below 100G. This can better adapt to the video memory of the A100 and store it on a single machine with multiple cards. The two-way bandwidth between GPU cards is ...
CatBoost is a fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. cuDF is a GPU DataFrame library for loading, joining, aggregatin...
CatBoost is a fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. cuDF is a GPU DataFrame library for loading, joining, aggregatin...
CatBoost is a fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. cuDF is a GPU DataFrame library for loading, joining, aggregatin...