doc update (#1096)

tidymodels · Feb 20, 2023 · 23cbd9a · 23cbd9a
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diff --git a/.gitignore b/.gitignore
@@ -11,3 +11,4 @@ revdep/checks.noindex
 revdep/library.noindex
 revdep/data.sqlite
 .httr-oauth
+revdep/cloud.noindex/*
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: recipes
 Title: Preprocessing and Feature Engineering Steps for Modeling
-Version: 1.0.4.9000
+Version: 1.0.5
 Authors@R: c(
     person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre")),
     person("Hadley", "Wickham", , "hadley@posit.co", role = "aut"),

diff --git a/NEWS.md b/NEWS.md
@@ -1,18 +1,17 @@
-# recipes (development version)
-
-* Print methods no longer errors for untrained recipes with long selections. (#1083)
+# recipes 1.0.5
 
 * Added `outside` argument to `step_percentile()` to determine different ways of handling values outside the range of the training data.
 
+* `step_range()` is now backwards compatible with respect to the `clipping` argument that was added 1.0.3, and old saved recipes can now be baked. (#1090)
+
 * update print methods to use cli package for formatting. (#426)
 
-* The `recipe`, `step`, and `check` methods for `generics::tune_args()` are now registered unconditionally (tidymodels/workflows#192).
+* Print methods no longer errors for untrained recipes with long selections. (#1083)
 
-* `step_range()` is now backwards compatible with respect to the `clipping` argument that was added 1.0.3, and old saved recipes can now be baked. (#1090)
+* The `recipe`, `step`, and `check` methods for `generics::tune_args()` are now registered unconditionally (tidymodels/workflows#192).
 
 * Added a `conditionMessage()` method for `recipes_error`s to consistently point out which step errors occurred in when reporting errors. (#1080)
 
-
 # recipes 1.0.4
 
 * Added missing tidy method for `step_intercept()` and `step_lag()`. (#730)

diff --git a/README.md b/README.md
@@ -24,17 +24,6 @@ ad_rec <- recipe(Class ~ tau + VEGF, data = ad_data) %>%
   step_normalize(all_numeric_predictors())
 
 ad_rec
-#> Recipe
-#> 
-#> Inputs:
-#> 
-#>       role #variables
-#>    outcome          1
-#>  predictor          2
-#> 
-#> Operations:
-#> 
-#> Centering and scaling for all_numeric_predictors()
 ```
 
 More information on recipes can be found at the [*Get