Hi,
I know that when using the sklearn wrapper method xgboost.XGBClassifier(), we can set the parameter “scale_pos_weight” to deal with imbalanced data, but I am wondering is there a counterpart if I choose to direct use xgboost.train()? I did not find a similar parameter for imbalanced data in the API manual.
Thanks a lot!