diff --git a/articles/spatial-modeling-use-case.html b/articles/spatial-modeling-use-case.html index 2fd58c96..096932b5 100644 --- a/articles/spatial-modeling-use-case.html +++ b/articles/spatial-modeling-use-case.html @@ -400,7 +400,7 @@

Linear Discriminant Analysis (LDA) benchmark = TRUE, progress = FALSE ) res_lda_sp$benchmark$runtime_performance -
## Time difference of 7.27 secs
+
## Time difference of 5.91 secs
 summary(res_lda_sp$error_rep)
##                    mean      sd   median     IQR
diff --git a/pkgdown.yml b/pkgdown.yml
index e3cde14b..2347c06e 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -4,7 +4,7 @@ pkgdown_sha: ~
 articles:
   custom-pred-and-model-functions: custom-pred-and-model-functions.html
   spatial-modeling-use-case: spatial-modeling-use-case.html
-last_built: 2025-01-10T04:23Z
+last_built: 2025-01-11T04:22Z
 urls:
   reference: https://giscience-fsu.github.io/sperrorest/reference
   article: https://giscience-fsu.github.io/sperrorest/articles
diff --git a/reference/sperrorest.html b/reference/sperrorest.html
index 86a6da77..8083f235 100644
--- a/reference/sperrorest.html
+++ b/reference/sperrorest.html
@@ -346,14 +346,14 @@ 

Examples

smp_fun = partition_cv, smp_args = list(repetition = 1:2, nfold = 3) ) -#> Fri Jan 10 04:23:52 2025 Repetition 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 3 -#> Fri Jan 10 04:23:52 2025 Repetition 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 3 +#> Sat Jan 11 04:22:27 2025 Repetition 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 3 +#> Sat Jan 11 04:22:27 2025 Repetition 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 3 summary(nsp_res$error_rep) #> mean sd median IQR #> train_auroc 0.8413531 0.0002190341 0.8413531 0.0001548805 @@ -436,14 +436,14 @@

Examples

smp_fun = partition_kmeans, smp_args = list(repetition = 1:2, nfold = 3) ) -#> Fri Jan 10 04:23:52 2025 Repetition 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 3 -#> Fri Jan 10 04:23:52 2025 Repetition 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 1 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 2 -#> Fri Jan 10 04:23:52 2025 Repetition - Fold 3 +#> Sat Jan 11 04:22:27 2025 Repetition 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 3 +#> Sat Jan 11 04:22:27 2025 Repetition 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 1 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 2 +#> Sat Jan 11 04:22:27 2025 Repetition - Fold 3 summary(sp_res$error_rep) #> mean sd median IQR #> train_auroc 0.8472530 0.017474834 0.8472530 0.012356574