Update snapshots for "eval_time not needed" warnings (#199)

* update snapshots

* temporarily use branch/PR

* PR merged

* more updates

tests/testthat/_snaps/survival-fit-resamples.md

@@ -6,7 +6,7 @@
       metrics = stc_mtrc, control = rsctrl, eval_time = time_points)
     Condition
       Warning in `fit_resamples()`:
-      Evaluation times are only required when dynamic or integrated metrics are used (and will be ignored here).
+      `eval_time` is only used for dynamic or integrated survival metrics.
 
 # resampling survival models mixture of metric types
 

tests/testthat/_snaps/survival-tune-autoplot.md

@@ -16,7 +16,7 @@
         10, 15))
     Condition
       Warning:
-      Evaluation times are not required with `autoplot(..., type = 'parameters')`.
+      `eval_time` is not used with `autoplot(..., type = 'parameters')`.
 
 # autoplot-ting survival models with different metric types
 
@@ -36,21 +36,21 @@
         10, 15))
     Condition
       Warning:
-      Evaluation times are not required with `autoplot(..., type = 'parameters')`.
+      `eval_time` is not used with `autoplot(..., type = 'parameters')`.
 
 # autoplot() warning for unneeded evaluation times
 
     Code
       p1 <- autoplot(tune_res, eval_time = 10, metric = "concordance_survival")
     Condition
       Warning in `autoplot()`:
-      Evaluation times are only required when the results of a dynamic survival metric are being visualized (and will be ignored).
+      `eval_time` is only used for dynamic survival metrics.
 
 ---
 
     Code
       p2 <- autoplot(tune_res, eval_time = 10, metric = "brier_survival_integrated")
     Condition
       Warning in `autoplot()`:
-      Evaluation times are only required when the results of a dynamic survival metric are being visualized (and will be ignored).
+      `eval_time` is only used for dynamic survival metrics.
 

tests/testthat/_snaps/survival-tune-select.md

@@ -35,7 +35,7 @@
       select_best(grid_static_res, metric = "concordance_survival", eval_time = 0)
     Condition
       Warning in `select_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
     Output
       # A tibble: 1 x 2
         penalty .config              
@@ -92,7 +92,7 @@
         eval_time = 0)
     Condition
       Warning in `select_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
     Output
       # A tibble: 1 x 2
         penalty .config              
@@ -228,7 +228,7 @@
       select_best(grid_mixed_res, metric = "brier_survival_integrated", eval_time = 0)
     Condition
       Warning in `select_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
     Output
       # A tibble: 1 x 2
         penalty .config              

tests/testthat/_snaps/survival-tune-show-best.md

@@ -68,7 +68,7 @@
       show_best(race_stc_res, metric = "concordance_survival", eval_time = 1)
     Condition
       Warning in `show_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
     Output
       # A tibble: 1 x 7
         cost_complexity .metric              .estimator  mean     n std_err .config   
@@ -106,7 +106,7 @@
       show_best(race_stc_res, metric = "concordance_survival", eval_time = 1)
     Condition
       Warning in `show_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
     Output
       # A tibble: 5 x 8
         cost_complexity .metric      .estimator .eval_time  mean     n std_err .config

tests/testthat/_snaps/survival-tune_race_anova.md

@@ -5,7 +5,7 @@
         eval_time = 5) %>% pluck("cost_complexity") %>% unique()
     Condition
       Warning in `show_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
 
 # race tuning (anova) survival models with dynamic metrics
 
@@ -101,7 +101,7 @@
         eval_time = 10)
     Condition
       Warning in `tune_race_anova()`:
-      Evaluation times are only required when the model mode is "censored regression" (and will be ignored).
+      `eval_time` is only used for models with mode "censored regression".
 
 ---
 
@@ -111,5 +111,5 @@
           concordance_survival), eval_time = 10)
     Condition
       Warning in `tune_race_anova()`:
-      Evaluation times are only required when dynamic or integrated metrics are used (and will be ignored here).
+      `eval_time` is only used for dynamic or integrated survival metrics.
 

tests/testthat/_snaps/survival-tune_race_win_loss.md

@@ -5,7 +5,7 @@
         eval_time = 5) %>% pluck("cost_complexity") %>% unique()
     Condition
       Warning in `show_best()`:
-      An evaluation time is only required when a dynamic metric is selected (and `eval_time` will thus be ignored).
+      `eval_time` is only used for dynamic survival metrics.
 
 # race tuning (win_loss) survival models with dynamic metrics
 
@@ -123,7 +123,7 @@
           rmse), eval_time = 10)
     Condition
       Warning in `tune_race_win_loss()`:
-      Evaluation times are only required when the model mode is "censored regression" (and will be ignored).
+      `eval_time` is only used for models with mode "censored regression".
 
 ---
 
@@ -133,5 +133,5 @@
           concordance_survival), eval_time = 10)
     Condition
       Warning in `tune_race_win_loss()`:
-      Evaluation times are only required when dynamic or integrated metrics are used (and will be ignored here).
+      `eval_time` is only used for dynamic or integrated survival metrics.
 

tests/testthat/test-survival-fit-resamples.R

@@ -4,7 +4,7 @@ suppressPackageStartupMessages(library(baguette))
 
 skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003")
 skip_if_not_installed("censored", minimum_version = "0.2.0.9000")
-skip_if_not_installed("tune", minimum_version = "1.1.2.9012")
+skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
 skip_if_not_installed("yardstick", minimum_version = "1.2.0.9001")
 
 test_that("resampling survival models with static metric", {

tests/testthat/test-survival-tune-autoplot.R

@@ -4,7 +4,7 @@ suppressPackageStartupMessages(library(finetune))
 
 skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003")
 skip_if_not_installed("censored", minimum_version = "0.2.0.9000")
-skip_if_not_installed("tune", minimum_version = "1.1.2.9018")
+skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
 skip_if_not_installed("yardstick", minimum_version = "1.2.0.9001")
 skip_if_not_installed("finetune", minimum_version = "1.1.0.9005")
 

tests/testthat/test-survival-tune-select.R

@@ -3,7 +3,7 @@ suppressPackageStartupMessages(library(censored))
 
 skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003")
 skip_if_not_installed("censored", minimum_version = "0.2.0.9000")
-skip_if_not_installed("tune", minimum_version = "1.1.2.9014")
+skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
 skip_if_not_installed("yardstick", minimum_version = "1.2.0.9001")
 
 test_that("select_*() with static metric", {

tests/testthat/test-survival-tune-show-best.R

@@ -90,7 +90,7 @@ test_that("show_best with censored data - dynamic metric - bayes", {
 test_that("show_best with censored data - static metric - anova racing", {
 
   skip_if_not_installed("parsnip", minimum_version = "1.1.1.9007")
-  skip_if_not_installed("tune", minimum_version = "1.1.2.9012")
+  skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
   skip_if_not_installed("finetune", minimum_version = "1.1.0.9004")
 
   obj <- make_churn_cens_objects()
@@ -143,7 +143,7 @@ test_that("show_best with censored data - static metric - anova racing", {
 test_that("show_best with censored data - static metric (+dyn) - W/L racing", {
 
   skip_if_not_installed("parsnip", minimum_version = "1.1.1.9007")
-  skip_if_not_installed("tune", minimum_version = "1.1.2.9012")
+  skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
   skip_if_not_installed("finetune", minimum_version = "1.1.0.9004")
 
   obj <- make_churn_cens_objects()

tests/testthat/test-survival-tune_race_anova.R

@@ -4,7 +4,7 @@ suppressPackageStartupMessages(library(finetune))
 
 skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003")
 skip_if_not_installed("censored", minimum_version = "0.2.0.9000")
-skip_if_not_installed("tune", minimum_version = "1.1.2.9012")
+skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
 skip_if_not_installed("yardstick", minimum_version = "1.2.0.9001")
 skip_if_not_installed("finetune", minimum_version = "1.1.0.9005")
 

tests/testthat/test-survival-tune_race_win_loss.R

@@ -4,7 +4,7 @@ suppressPackageStartupMessages(library(finetune))
 
 skip_if_not_installed("parsnip", minimum_version = "1.1.0.9003")
 skip_if_not_installed("censored", minimum_version = "0.2.0.9000")
-skip_if_not_installed("tune", minimum_version = "1.1.2.9012")
+skip_if_not_installed("tune", minimum_version = "1.1.2.9020")
 skip_if_not_installed("yardstick", minimum_version = "1.2.0.9001")
 skip_if_not_installed("finetune", minimum_version = "1.1.0.9006")