Tidymodels & XGBoost & evaluation.log


                save_workflow  = TRUE
                ,save_pred      = TRUE
                 ,extract = function(x) {
                     model <- extract_fit_engine(x)

... we can get via:

                pred_errors<-xgb_tuning_results %>%
                    collect_extracts() %>%

validation errors OR training errors from xgboost.

I wondering if it is possible to get both at the same time- like in native xgboost.
Any ideas here? Is there a hack via environment?

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