diff --git a/articles/spatial-modeling-use-case.html b/articles/spatial-modeling-use-case.html index d500c677..9859377f 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 6.37 secs
+
## Time difference of 8.64 secs
 summary(res_lda_sp$error_rep)
##                    mean      sd   median     IQR
diff --git a/pkgdown.yml b/pkgdown.yml
index 9f0164f5..2e4926cc 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: 2024-11-18T04:24Z
+last_built: 2024-11-19T04:25Z
 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 96095b1d..3eb3f9d5 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) ) -#> Mon Nov 18 04:24:18 2024 Repetition 1 -#> Mon Nov 18 04:24:18 2024 Repetition - Fold 1 -#> Mon Nov 18 04:24:18 2024 Repetition - Fold 2 -#> Mon Nov 18 04:24:18 2024 Repetition - Fold 3 -#> Mon Nov 18 04:24:19 2024 Repetition 2 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 1 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 2 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 3 +#> Tue Nov 19 04:25:18 2024 Repetition 1 +#> Tue Nov 19 04:25:18 2024 Repetition - Fold 1 +#> Tue Nov 19 04:25:18 2024 Repetition - Fold 2 +#> Tue Nov 19 04:25:18 2024 Repetition - Fold 3 +#> Tue Nov 19 04:25:18 2024 Repetition 2 +#> Tue Nov 19 04:25:18 2024 Repetition - Fold 1 +#> Tue Nov 19 04:25:18 2024 Repetition - Fold 2 +#> Tue Nov 19 04:25:18 2024 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) ) -#> Mon Nov 18 04:24:19 2024 Repetition 1 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 1 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 2 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 3 -#> Mon Nov 18 04:24:19 2024 Repetition 2 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 1 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 2 -#> Mon Nov 18 04:24:19 2024 Repetition - Fold 3 +#> Tue Nov 19 04:25:19 2024 Repetition 1 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 1 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 2 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 3 +#> Tue Nov 19 04:25:19 2024 Repetition 2 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 1 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 2 +#> Tue Nov 19 04:25:19 2024 Repetition - Fold 3 summary(sp_res$error_rep) #> mean sd median IQR #> train_auroc 0.8472530 0.017474834 0.8472530 0.012356574