Merge pull request #212 from tidymodels/new-snapshots

update snapshots

tests/testthat/_snaps/collapse_cart.md

@@ -47,7 +47,7 @@
       predictor: 73
       
       -- Operations 
-      * Collapsing factor levels using CART: Neighborhood, Central_Air
+      * Collapsing factor levels using CART: Neighborhood and Central_Air
 
 ---
 

tests/testthat/_snaps/discretize_cart.md

@@ -42,7 +42,8 @@
     Condition
       Error in `step_discretize_cart()`:
       Caused by error in `prep()`:
-      ! All columns selected for the step should be double, or integer.
+      x All columns selected for the step should be double or integer.
+      * 1 factor variable found: `w`
 
 # tidy method
 
@@ -85,7 +86,7 @@
       Training data contained 1000 data points and no incomplete rows.
       
       -- Operations 
-      * Discretizing variables using CART: x, z | Trained, weighted
+      * Discretizing variables using CART: x and z | Trained, weighted
 
 # empty printing
 

tests/testthat/_snaps/discretize_xgb.md

@@ -4,7 +4,7 @@
       xgboost
     Output
       ##### xgb.Booster
-      raw: 69.1 Kb 
+      raw: 74.2 Kb 
       call:
         xgboost::xgb.train(params = .params, data = .train, nrounds = 100, 
           watchlist = list(train = .train, test = .test), verbose = 0, 
@@ -19,19 +19,19 @@
         cb.early.stop(stopping_rounds = early_stopping_rounds, maximize = maximize, 
           verbose = verbose)
       # of features: 13 
-      niter: 89
-      best_iteration : 79 
-      best_ntreelimit : 79 
-      best_score : 0.4442069 
-      best_msg : [79]	train-logloss:0.420000	test-logloss:0.444207 
+      niter: 96
+      best_iteration : 86 
+      best_ntreelimit : 86 
+      best_score : 0.4421503 
+      best_msg : [86]	train-logloss:0.417583	test-logloss:0.442150 
       nfeatures : 13 
       evaluation_log:
           iter train_logloss test_logloss
              1     0.6279229    0.6303495
              2     0.5869984    0.5894989
       ---                                
-            88     0.4180034    0.4449478
-            89     0.4178084    0.4446590
+            95     0.4157892    0.4425857
+            96     0.4156102    0.4432699
 
 # run_xgboost for multi-classification
 
@@ -287,7 +287,7 @@
       Training data contained 1000 data points and no incomplete rows.
       
       -- Operations 
-      * Discretizing variables using xgboost: x, z | Trained, weighted
+      * Discretizing variables using xgboost: x and z | Trained, weighted
 
 # empty printing
 
@@ -357,5 +357,5 @@
       Training data contained 1000 data points and no incomplete rows.
       
       -- Operations 
-      * Discretizing variables using xgboost: x, z | Trained
+      * Discretizing variables using xgboost: x and z | Trained
 

tests/testthat/_snaps/embed.md

@@ -4,19 +4,19 @@
       new_values_ch <- bake(class_test, new_data = new_dat_ch, contains("embed"))
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 ---
 
     Code
       new_values_ch <- bake(class_test, new_data = new_dat_ch, contains("embed"))
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # bad args
 
@@ -26,7 +26,8 @@
     Condition
       Error in `step_embed()`:
       Caused by error in `prep()`:
-      ! All columns selected for the step should be string, factor, or ordered.
+      x All columns selected for the step should be string, factor, or ordered.
+      * 1 double variable found: `Sepal.Length`
 
 # check_name() is used
 
@@ -35,8 +36,8 @@
     Condition
       Error in `step_embed()`:
       Caused by error in `bake()`:
-      ! Name collision occured. The following variable names already exists:
-      i  x3_embed_1
+      ! Name collision occurred. The following variable names already exist:
+      * `x3_embed_1`
 
 # empty printing
 
@@ -79,8 +80,8 @@
       rec <- prep(rec)
     Condition
       Warning:
-      'keep_original_cols' was added to `step_embed()` after this recipe was created.
-      Regenerate your recipe to avoid this warning.
+      `keep_original_cols` was added to `step_embed()` after this recipe was created.
+      i Regenerate your recipe to avoid this warning.
 
 # printing
 

tests/testthat/_snaps/feature_hash.md

@@ -4,9 +4,9 @@
       res_te <- bake(rec_tr, te_dat, dplyr::starts_with("x3"))
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # check_name() is used
 
@@ -15,8 +15,8 @@
     Condition
       Error in `step_feature_hash()`:
       Caused by error in `bake()`:
-      ! Name collision occured. The following variable names already exists:
-      i  x3_hash_01
+      ! Name collision occurred. The following variable names already exist:
+      * `x3_hash_01`
 
 # empty printing
 
@@ -59,8 +59,8 @@
       rec <- prep(rec)
     Condition
       Warning:
-      'keep_original_cols' was added to `step_feature_hash()` after this recipe was created.
-      Regenerate your recipe to avoid this warning.
+      `keep_original_cols` was added to `step_feature_hash()` after this recipe was created.
+      i Regenerate your recipe to avoid this warning.
 
 # printing
 

tests/testthat/_snaps/lencode_bayes.md

@@ -11,9 +11,9 @@
       new_values_ch <- bake(class_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 ---
 
@@ -29,9 +29,9 @@
       new_values_ch <- bake(reg_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # character encoded predictor
 
@@ -64,9 +64,9 @@
       new_values_ch <- bake(class_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # case weights
 

tests/testthat/_snaps/lencode_glm.md

@@ -4,19 +4,19 @@
       new_values_ch <- bake(class_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 ---
 
     Code
       new_values_ch <- bake(reg_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # character encoded predictor
 
@@ -31,7 +31,8 @@
     Condition
       Error in `step_lencode_glm()`:
       Caused by error in `prep()`:
-      ! All columns selected for the step should be string, factor, or ordered.
+      x All columns selected for the step should be string, factor, or ordered.
+      * 1 double variable found: `Sepal.Length`
 
 # case weights
 

tests/testthat/_snaps/lencode_mixed.md

@@ -4,19 +4,19 @@
       new_values_ch <- bake(class_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 ---
 
     Code
       new_values_ch <- bake(reg_test, new_data = new_dat_ch)
     Condition
       Warning:
-       There was 1 column that was a factor when the recipe was prepped:
-       'x3'.
-       This may cause errors when processing new data.
+      ! There was 1 column that was a factor when the recipe was prepped:
+      * `x3`
+      i This may cause errors when processing new data.
 
 # bad args
 
@@ -26,7 +26,8 @@
     Condition
       Error in `step_lencode_mixed()`:
       Caused by error in `prep()`:
-      ! All columns selected for the step should be string, factor, or ordered.
+      x All columns selected for the step should be string, factor, or ordered.
+      * 1 double variable found: `Sepal.Length`
 
 # case weights
 

tests/testthat/_snaps/pca_sparse.md

@@ -14,7 +14,7 @@
       Training data contained 1817 data points and no incomplete rows.
       
       -- Operations 
-      * Sparse PCA extraction with: angle_ch_1, area_ch_1, ... | Trained
+      * Sparse PCA extraction with: angle_ch_1 and area_ch_1, ... | Trained
 
 # check_name() is used
 
@@ -23,8 +23,8 @@
     Condition
       Error in `step_pca_sparse()`:
       Caused by error in `bake()`:
-      ! Name collision occured. The following variable names already exists:
-      i  PC1
+      ! Name collision occurred. The following variable names already exist:
+      * `PC1`
 
 # empty printing
 
@@ -67,8 +67,8 @@
       rec <- prep(rec)
     Condition
       Warning:
-      'keep_original_cols' was added to `step_pca_sparse()` after this recipe was created.
-      Regenerate your recipe to avoid this warning.
+      `keep_original_cols` was added to `step_pca_sparse()` after this recipe was created.
+      i Regenerate your recipe to avoid this warning.
 
 # printing
 
@@ -106,5 +106,5 @@
       Training data contained 32 data points and no incomplete rows.
       
       -- Operations 
-      * Sparse PCA extraction with: cyl, disp, hp, drat, wt, qsec, vs, ... | Trained
+      * Sparse PCA extraction with: cyl, disp, hp, drat, wt, qsec, ... | Trained
 

tests/testthat/_snaps/pca_sparse_bayes.md

@@ -14,7 +14,7 @@
       Training data contained 1817 data points and no incomplete rows.
       
       -- Operations 
-      * Sparse PCA extraction with: angle_ch_1, area_ch_1, ... | Trained
+      * Sparse PCA extraction with: angle_ch_1 and area_ch_1, ... | Trained
 
 # check_name() is used
 
@@ -23,8 +23,8 @@
     Condition
       Error in `step_pca_sparse_bayes()`:
       Caused by error in `bake()`:
-      ! Name collision occured. The following variable names already exists:
-      i  PC1
+      ! Name collision occurred. The following variable names already exist:
+      * `PC1`
 
 # empty printing
 
@@ -67,8 +67,8 @@
       rec <- prep(rec)
     Condition
       Warning:
-      'keep_original_cols' was added to `step_pca_sparse_bayes()` after this recipe was created.
-      Regenerate your recipe to avoid this warning.
+      `keep_original_cols` was added to `step_pca_sparse_bayes()` after this recipe was created.
+      i Regenerate your recipe to avoid this warning.
 
 # printing
 
@@ -101,5 +101,5 @@
       Training data contained 1817 data points and no incomplete rows.
       
       -- Operations 
-      * Sparse PCA extraction with: angle_ch_1, area_ch_1, ... | Trained
+      * Sparse PCA extraction with: angle_ch_1 and area_ch_1, ... | Trained
 

tests/testthat/_snaps/pca_truncated.md

@@ -5,8 +5,8 @@
     Condition
       Error in `step_pca_truncated()`:
       Caused by error in `bake()`:
-      ! Name collision occured. The following variable names already exists:
-      i  PC1
+      ! Name collision occurred. The following variable names already exist:
+      * `PC1`
 
 # empty printing
 
@@ -49,8 +49,8 @@
       rec <- prep(rec)
     Condition
       Warning:
-      'keep_original_cols' was added to `step_pca_truncated()` after this recipe was created.
-      Regenerate your recipe to avoid this warning.
+      `keep_original_cols` was added to `step_pca_truncated()` after this recipe was created.
+      i Regenerate your recipe to avoid this warning.
 
 # printing
 
@@ -85,5 +85,5 @@
       Training data contained 32 data points and no incomplete rows.
       
       -- Operations 
-      * Truncated PCA extraction with: cyl, disp, hp, drat, wt, qsec, ... | Trained
+      * Truncated PCA extraction with: cyl, disp, hp, drat, wt, ... | Trained