model comparison with k-fold cross validation

[bnicenboim]

Hi,
I just discovered this package, it looks very cool, now I'm trying to do k-fold cross validation with the log-score rule, what I would do with brms with:

k <- loo::kfold_split_random(K = 10, N = nrow(df))
k1 <- kfold(m1, chains = 1, folds = k)
k2 <- kfold(m2, chains = 1, folds = k)
loo_compare(k1, k2)

I guess I should start with

folds <- vfold_cv(houses_train, v = 10)

fit_folds1 <- my_workflow1 |>
  tune::fit_resamples(folds)

fit_folds2 <- my_workflow2 |>
  tune::fit_resamples(folds)

But I'm not sure how I should compare the models. (I can provide a complete reprex, if it's not clear)