Merge pull request #180 from tidymodels/rc-1-1-1

RC 1.1.1

Author: hfrick

.Rbuildignore

@@ -13,3 +13,4 @@
 ^man-roxygen$
 ^[\.]?air\.toml$
 ^\.vscode$
+^CRAN-SUBMISSION$

DESCRIPTION

@@ -1,10 +1,12 @@
 Package: workflowsets
 Title: Create a Collection of 'tidymodels' Workflows
-Version: 1.1.0.9000
+Version: 1.1.1
 Authors@R: c(
+    person("Hannah", "Frick", , "hannah@posit.co", role =c("aut", "cre"),
+           comment = c(ORCID =  "0000-0002-6049-5258")),
     person("Max", "Kuhn", , "max@posit.co", role = "aut",
            comment = c(ORCID = "0000-0003-2402-136X")),
-    person("Simon", "Couch", , "simon.couch@posit.co", role = c("aut", "cre"),
+    person("Simon", "Couch", , "simon.couch@posit.co", role = "aut",
            comment = c(ORCID = "0000-0001-5676-5107")),
     person("Posit Software, PBC", role = c("cph", "fnd"),
            comment = c(ROR = "03wc8by49"))

NEWS.md

@@ -1,6 +1,6 @@
-# workflowsets (development version)
+# workflowsets 1.1.1
 
-* Added a `collect_extracts()` method for workflow sets (#156).
+* Added a `collect_extracts()` method for workflow sets (@jrosell, #156).
 
 * The deprecation of the `pull_*()` functions has been moved forward. These functions now error. Please use the `extract_*()` functions instead (#178).
 

README.Rmd

@@ -183,14 +183,14 @@ The `results` column contains the results of each call to `tune_grid()` for the
 
 The `autoplot()` method shows the rankings of the workflows: 
 
-```{r plot, fig.height = 4, dev = "svg"}
+```{r plot, fig.height = 4}
 autoplot(chi_models)
 ```
 
 or the best from each workflow: 
 
 
-```{r plot-best, fig.height = 4, dev = "svg"}
+```{r plot-best, fig.height = 4}
 autoplot(chi_models, select_best = TRUE)
 ```
 

README.md

@@ -202,19 +202,26 @@ chi_models <-
     metrics = metric_set(mae), verbose = TRUE
   )
 #> i 1 of 7 tuning:     simple_glmnet
-#> ✔ 1 of 7 tuning:     simple_glmnet (3s)
+#> ✔ 1 of 7 tuning:     simple_glmnet (2s)
 #> i 2 of 7 tuning:     simple_cart
-#> ✔ 2 of 7 tuning:     simple_cart (4.1s)
+#> ✔ 2 of 7 tuning:     simple_cart (2.8s)
 #> i 3 of 7 tuning:     simple_knn
-#> ✔ 3 of 7 tuning:     simple_knn (3.7s)
+#> ✔ 3 of 7 tuning:     simple_knn (2.3s)
+#> Warning: Using `all_of()` outside of a selecting function was deprecated in tidyselect
+#> 1.2.0.
+#> ℹ See details at
+#>   <https://tidyselect.r-lib.org/reference/faq-selection-context.html>
+#> This warning is displayed once every 8 hours.
+#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
+#> generated.
 #> i 4 of 7 tuning:     filter_cart
-#> ✔ 4 of 7 tuning:     filter_cart (8.4s)
+#> ✔ 4 of 7 tuning:     filter_cart (5.4s)
 #> i 5 of 7 tuning:     filter_knn
-#> ✔ 5 of 7 tuning:     filter_knn (7.8s)
+#> ✔ 5 of 7 tuning:     filter_knn (5.3s)
 #> i 6 of 7 tuning:     pca_cart
-#> ✔ 6 of 7 tuning:     pca_cart (5.5s)
+#> ✔ 6 of 7 tuning:     pca_cart (4s)
 #> i 7 of 7 tuning:     pca_knn
-#> ✔ 7 of 7 tuning:     pca_knn (5.4s)
+#> ✔ 7 of 7 tuning:     pca_knn (3.6s)
 chi_models
 #> # A workflow set/tibble: 7 × 4
 #>   wflow_id      info             option    result   
@@ -237,15 +244,15 @@ The `autoplot()` method shows the rankings of the workflows:
 autoplot(chi_models)
 ```
 
-<img src="man/figures/README-plot-1.svg" width="100%" />
+<img src="man/figures/README-plot-1.png" width="100%" />
 
 or the best from each workflow:
 
 ``` r
 autoplot(chi_models, select_best = TRUE)
 ```
 
-<img src="man/figures/README-plot-best-1.svg" width="100%" />
+<img src="man/figures/README-plot-best-1.png" width="100%" />
 
 We can determine how well each combination did by looking at the best
 results per workflow:
@@ -260,9 +267,9 @@ rank_results(chi_models, rank_metric = "mae", select_best = TRUE) |>
 #> 2     2  2.23 decision_tree    simple_cart   Preprocessor1_Model06
 #> 3     3  2.63 decision_tree    filter_cart   Preprocessor06_Model1
 #> 4     4  2.97 decision_tree    pca_cart      Preprocessor4_Model2 
-#> 5     5  3.37 nearest_neighbor simple_knn    Preprocessor1_Model07
+#> 5     5  3.24 nearest_neighbor simple_knn    Preprocessor1_Model02
 #> 6     6  3.47 nearest_neighbor filter_knn    Preprocessor06_Model1
-#> 7     7  3.89 nearest_neighbor pca_knn       Preprocessor4_Model2
+#> 7     7  3.90 nearest_neighbor pca_knn       Preprocessor2_Model2
 ```
 
 ## Contributing

cran-comments.md

@@ -1,11 +0,0 @@
-## R CMD check results
-
-0 errors | 0 warnings | 0 notes
-
-## revdepcheck results
-
-We checked 9 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
-
- * We saw 0 new problems
- * We failed to check 0 packages
-