Error(s) in re-building vignettes:
--- re-building 'a0_tidysdm_overview.Rmd' using rmarkdown
--- finished re-building 'a0_tidysdm_overview.Rmd'

--- re-building 'a1_palaeodata_application.Rmd' using rmarkdown
--- finished re-building 'a1_palaeodata_application.Rmd'

--- re-building 'a2_tidymodels_additions.Rmd' using rmarkdown

Quitting from a2_tidymodels_additions.Rmd:65-69 [vip]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `xgb.get.handle()`:
! 'xgb.Booster' object is corrupted or is from an incompatible XGBoost version.
---
Backtrace:
     ▆
  1. ├─DALEX::model_parts(explainer = explainer_lacerta_ens)
  2. │ ├─ingredients::feature_importance(...)
  3. │ └─ingredients:::feature_importance.explainer(...)
  4. │   └─ingredients:::feature_importance.default(...)
  5. │     └─base::replicate(B, loss_after_permutation())
  6. │       └─base::sapply(...)
  7. │         └─base::lapply(X = X, FUN = FUN, ...)
  8. │           └─ingredients (local) FUN(X[[i]], ...)
  9. │             └─ingredients (local) loss_after_permutation()
 10. │               ├─DALEX (local) loss_function(observed, predict_function(x, sampled_data))
 11. │               │ └─base::tapply(observed, predicted, sum)
 12. │               └─tidysdm (local) predict_function(x, sampled_data)
 13. │                 ├─stats::predict(model, newdata)
 14. │                 └─tidysdm:::predict.simple_ensemble(model, newdata)
 15. │                   └─base::lapply(...)
 16. │                     ├─stats (local) FUN(X[[i]], ...)
 17. │                     └─workflows:::predict.workflow(X[[i]], ...)
 18. │                       ├─stats::predict(fit, new_data, type = type, opts = opts, ...)
 19. │                       └─parsnip::predict.model_fit(...)
 20. │                         ├─parsnip:::predict_classprob(...)
 21. │                         └─parsnip::predict_classprob.model_fit(...)
 22. │                           └─rlang::eval_tidy(pred_call)
 23. └─parsnip::xgb_predict(object = object$fit, new_data = new_data)
 24.   ├─stats::predict(object, new_data, ...)
 25.   └─xgboost:::predict.xgb.Booster(object, new_data, ...)
 26.     └─xgboost:::xgb.best_iteration(object)
 27.       └─xgboost::xgb.attr(bst, "best_iteration")
 28.         └─xgboost:::xgb.get.handle(object)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Error: processing vignette 'a2_tidymodels_additions.Rmd' failed with diagnostics:
'xgb.Booster' object is corrupted or is from an incompatible XGBoost version.
--- failed re-building 'a2_tidymodels_additions.Rmd'

--- re-building 'a3_troubleshooting.Rmd' using rmarkdown
--- finished re-building 'a3_troubleshooting.Rmd'

SUMMARY: processing the following file failed:
  'a2_tidymodels_additions.Rmd'

Error: Vignette re-building failed.
Execution halted