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.
Problem:
catboost version: R package 0.24.1
Operating System: Windows
CPU: Intel Core i7
The R version does not seem to support sparse matrices Matrix::sparseMatrix().
Would be really great if this would be enabled, especially as this would be fully compatible with mlr3
Or maybe it is available and I just missed it in the package ? But contrary to Xgboost and Lightgbm Catboost does not seem to support dgCMatrix in R. For Xgboost this works really well.
Problem: catboost version: R package 0.24.1 Operating System: Windows CPU: Intel Core i7
The R version does not seem to support sparse matrices Matrix::sparseMatrix(). Would be really great if this would be enabled, especially as this would be fully compatible with mlr3
Or maybe it is available and I just missed it in the package ? But contrary to Xgboost and Lightgbm Catboost does not seem to support dgCMatrix in R. For Xgboost this works really well.