I am currently training an XGBoost model using the DSS Lab. In the process, I am faced with a limitation on the values I can select for hyperparameter tuning, specifically for L1 and L2 regularization. The range for these regularization values is restricted to [0,1], but I would like to choose values higher than 1. The warning message I receive states that the value must be less than or equal to 1. I have reviewed the official XGBoost documentation XGBoost Parameters — xgboost 1.7.6 documentation and did not find any reference to this limitation for L1 (reg_alpha) and L2 (reg_lambda) regularization.
Do you have any suggestions for overcoming this limitation?