Questions tagged [catboost]
CatBoost is a cutting-edge program that utilizes gradient boosting on decision trees, offering seamless support for categorical features right from the start in Python and R.
Currently, I am in the process of training a Catboost model and utilizing a Pool object in the following manner: pool = Pool(data=x_train, label=y_train, cat_features=cat_cols) eval_set = Pool(data=x_validation, label=y_validation['Label'], cat_features=ca ...