diff --git a/DESCRIPTION b/DESCRIPTION
index 85d3f7d46..db562aa7a 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: tune
 Title: Tidy Tuning Tools
-Version: 0.1.5.9001
+Version: 0.1.6
 Authors@R: 
     c(person(given = "Max",
              family = "Kuhn",
diff --git a/NEWS.md b/NEWS.md
index 69441e126..e7608d618 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# tune (development version)
+# tune 0.1.6
 
 * When using `load_pkgs()`, packages that use random numbers on start-up do not affect the state of the RNG. We also added more control of the RNGkind to make it consistent with the user's previous value (#389). 
 
diff --git a/R/merge.R b/R/merge.R
index c86290226..dbdfcf1ba 100644
--- a/R/merge.R
+++ b/R/merge.R
@@ -20,7 +20,7 @@
 #'
 #' pca_rec <-
 #'   recipe(mpg ~ ., data = mtcars) %>%
-#'   step_knnimpute(all_predictors(), neighbors = tune()) %>%
+#'   step_impute_knn(all_predictors(), neighbors = tune()) %>%
 #'   step_pca(all_predictors(), num_comp = tune())
 #'
 #' pca_grid <-
diff --git a/R/param_set.workflows.R b/R/param_set.workflows.R
index d85a70e2f..04e5359c5 100644
--- a/R/param_set.workflows.R
+++ b/R/param_set.workflows.R
@@ -11,7 +11,7 @@
 #' library(recipes)
 #'
 #' recipe(mpg ~ ., data = mtcars) %>%
-#'   step_knnimpute(all_predictors(), neighbors = tune()) %>%
+#'   step_impute_knn(all_predictors(), neighbors = tune()) %>%
 #'   step_pca(all_predictors(), num_comp = tune()) %>%
 #'   dials::parameters()
 #'
diff --git a/R/tune_args.R b/R/tune_args.R
index 75f5fa2a1..537e42f10 100644
--- a/R/tune_args.R
+++ b/R/tune_args.R
@@ -28,7 +28,7 @@
 #' library(recipes)
 #'
 #' recipe(mpg ~ ., data = mtcars) %>%
-#'   step_knnimpute(all_predictors(), neighbors = tune()) %>%
+#'   step_impute_knn(all_predictors(), neighbors = tune()) %>%
 #'   step_pca(all_predictors(), num_comp = tune()) %>%
 #'   tune_args()
 #'
diff --git a/man/merge.recipe.Rd b/man/merge.recipe.Rd
index c7363ae3e..84aae3d64 100644
--- a/man/merge.recipe.Rd
+++ b/man/merge.recipe.Rd
@@ -32,7 +32,7 @@ library(recipes)
 
 pca_rec <-
   recipe(mpg ~ ., data = mtcars) \%>\%
-  step_knnimpute(all_predictors(), neighbors = tune()) \%>\%
+  step_impute_knn(all_predictors(), neighbors = tune()) \%>\%
   step_pca(all_predictors(), num_comp = tune())
 
 pca_grid <-
diff --git a/man/parameters.workflow.Rd b/man/parameters.workflow.Rd
index 1208c2c9e..dc432378d 100644
--- a/man/parameters.workflow.Rd
+++ b/man/parameters.workflow.Rd
@@ -30,7 +30,7 @@ library(tibble)
 library(recipes)
 
 recipe(mpg ~ ., data = mtcars) \%>\%
-  step_knnimpute(all_predictors(), neighbors = tune()) \%>\%
+  step_impute_knn(all_predictors(), neighbors = tune()) \%>\%
   step_pca(all_predictors(), num_comp = tune()) \%>\%
   dials::parameters()
 
diff --git a/man/tune_args.Rd b/man/tune_args.Rd
index 6d17b4e41..42690103f 100644
--- a/man/tune_args.Rd
+++ b/man/tune_args.Rd
@@ -53,7 +53,7 @@ the \code{id} field reverts to the name of the parameters.
 library(recipes)
 
 recipe(mpg ~ ., data = mtcars) \%>\%
-  step_knnimpute(all_predictors(), neighbors = tune()) \%>\%
+  step_impute_knn(all_predictors(), neighbors = tune()) \%>\%
   step_pca(all_predictors(), num_comp = tune()) \%>\%
   tune_args()
 
diff --git a/tests/helper-objects.R b/tests/helper-objects.R
index 175e32519..c4c5666e6 100644
--- a/tests/helper-objects.R
+++ b/tests/helper-objects.R
@@ -48,7 +48,7 @@ lm_model <-
 no_engine <- linear_reg()
 
 weird_annotation <-
-  boost_tree(mode = "regression", trees = tune("$^%&#!")) %>%
+  boost_tree(mode = "classification", trees = tune("$^%&#!")) %>%
   set_engine("C5.0", rules = TRUE, noGlobalPruning = TRUE)
 
 glmn <- linear_reg(penalty = tune(), mixture = tune()) %>% set_engine("glmnet")