update snapshots

Author: topepo

tests/testthat/_snaps/linear_reg.md

@@ -46,7 +46,7 @@
       res <- fit_xy(hpc_basic, x = hpc[, num_pred], y = hpc$class, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 ---
 
@@ -55,47 +55,47 @@
       control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <character>.
+      ! For a regression model, the outcome should be <numeric>, not a character vector.
 
 ---
 
     Code
       res <- fit(hpc_basic, hpc_bad_form, data = hpc, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 ---
 
     Code
       lm_form_catch <- fit(hpc_basic, hpc_bad_form, data = hpc, control = caught_ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 # glm execution
 
     Code
       res <- fit_xy(hpc_glm, x = hpc[, num_pred], y = hpc$class, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 ---
 
     Code
       res <- fit(hpc_glm, hpc_bad_form, data = hpc, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 ---
 
     Code
       lm_form_catch <- fit(hpc_glm, hpc_bad_form, data = hpc, control = caught_ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a regression model, the outcome should be <numeric>, not <factor>.
+      ! For a regression model, the outcome should be <numeric>, not a <factor> object.
 
 # newdata error trapping
 

tests/testthat/_snaps/logistic_reg.md

@@ -51,7 +51,7 @@
       res <- fit(lc_basic, funded_amnt ~ term, data = lending_club, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 ---
 
@@ -60,7 +60,7 @@
       control = caught_ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 ---
 
@@ -69,15 +69,15 @@
         num_pred], y = lending_club$total_bal_il)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 # liblinear execution
 
     Code
       res <- fit(ll_basic, funded_amnt ~ term, data = lending_club, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 ---
 
@@ -86,7 +86,7 @@
       control = caught_ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 ---
 
@@ -95,7 +95,7 @@
         num_pred], y = lending_club$total_bal_il)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 # check_args() works
 

tests/testthat/_snaps/misc.md

@@ -217,5 +217,5 @@
       check_outcome(1:2, cens_spec)
     Condition
       Error in `check_outcome()`:
-      ! For a censored regression model, the outcome should be <Surv>, not <integer>.
+      ! For a censored regression model, the outcome should be a <Surv> object, not an integer vector.
 

tests/testthat/_snaps/predict_formats.md

@@ -14,7 +14,7 @@
         class = class == "VF"))
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <logical>.
+      ! For a classification model, the outcome should be a <factor>, not a logical vector.
 
 ---
 
@@ -23,7 +23,7 @@
         class = ifelse(class == "VF", 1, 0)))
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <numeric>.
+      ! For a classification model, the outcome should be a <factor>, not a double vector.
 
 ---
 
@@ -32,5 +32,5 @@
         dplyr::mutate(class = as.character(class)))
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <character>.
+      ! For a classification model, the outcome should be a <factor>, not a character vector.
 

tests/testthat/_snaps/rand_forest_ranger.md

@@ -4,7 +4,7 @@
       res <- fit(lc_ranger, funded_amnt ~ Class + term, data = lending_club, control = ctrl)
     Condition
       Error in `check_outcome()`:
-      ! For a classification model, the outcome should be <factor>, not <integer>.
+      ! For a classification model, the outcome should be a <factor>, not an integer vector.
 
 # ranger classification probabilities