updated snapshots

Author: topepo

tests/testthat/_snaps/nearest_neighbor_kknn.md

@@ -1,13 +1,5 @@
 # kknn execution
 
-    Code
-      fit_xy(hpc_basic, control = ctrl, x = hpc[, num_pred], y = hpc$input_fields)
-    Condition
-      Error in `check_outcome()`:
-      ! For a classification model, the outcome should be a `factor`, not a `numeric`.
-
----
-
     Code
       fit(hpc_basic, hpc_bad_form, data = hpc, control = ctrl)
     Condition

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

tests/testthat/_snaps/rand_forest_ranger.md

@@ -4,15 +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 a `factor`, not a `integer`.
-
----
-
-    Code
-      res <- fit(bad_ranger_cls, funded_amnt ~ term, data = lending_club, control = ctrl)
-    Condition
-      Error in `check_outcome()`:
-      ! For a classification model, the outcome should be a `factor`, not a `integer`.
+      ! For a classification model, the outcome should be <factor>, not <integer>.
 
 # ranger classification probabilities