RC 1.2.0 (#109)

* version and doc updates * no revdeps built --------- Co-authored-by: ‘topepo’ <‘[email protected]’>
tidymodels · Mar 21, 2024 · 4ad407f · 4ad407f
1 parent e4c78d5
commit 4ad407f
Show file tree

Hide file tree

Showing 6 changed files with 24 additions and 7 deletions.
diff --git a/.Rbuildignore b/.Rbuildignore
@@ -9,3 +9,4 @@
 ^\.github$
 ^docs$
 ^pkgdown$
+^revdep
diff --git a/.gitignore b/.gitignore
@@ -4,3 +4,4 @@
 .Ruserdata
 .DS_Store
 docs
+revdep/*
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: finetune
 Title: Additional Functions for Model Tuning
-Version: 1.1.0.9006
+Version: 1.2.0
 Authors@R: c(
     person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0003-2402-136X")),

diff --git a/NEWS.md b/NEWS.md
@@ -1,17 +1,23 @@
-# finetune (development version)
+# finetune 1.2.0
 
-* Improved error message from `tune_sim_anneal()` when values in the supplied `param_info` do not encompass all values evaluated in the `initial` grid. This most often happens when a user mistakenly supplies different parameter sets to the function that generated the initial results and `tune_sim_anneal()`.
+## New Features
 
-* Fixed bug where `tune_sim_anneal()` would fail when supplied parameters needing finalization. The function will now finalize needed parameter ranges internally (#39).
+* finetune now fully supports models in the "censored regression" mode. These models can be fit, tuned, and evaluated like the regression and classification modes. [tidymodels.org](https://www.tidymodels.org/learn/#category=survival%20analysis) has more information and tutorials on how to work with survival analysis models.
 
-* Fixed bug where packages specified in `control_race(pkgs)` were not actually loaded in `tune_race_anova()` (#74).
+* Improved error message from `tune_sim_anneal()` when values in the supplied `param_info` do not encompass all values evaluated in the `initial` grid. This most often happens when a user mistakenly supplies different parameter sets to the function that generated the initial results and `tune_sim_anneal()`.
 
 * `autoplot()` methods for racing objects will now use integers in x-axis breaks (#75).
 
 * Enabling the `verbose_elim` control option for `tune_race_anova()` will now additionally introduce a message confirming that the function is evaluating against the burn-in resamples.
 
 * Updates based on the new version of tune, primarily for survival analysis models (#104). 
 
+## Bug Fixes
+
+* Fixed bug where `tune_sim_anneal()` would fail when supplied parameters needing finalization. The function will now finalize needed parameter ranges internally (#39).
+
+* Fixed bug where packages specified in `control_race(pkgs)` were not actually loaded in `tune_race_anova()` (#74).
+
 ## Breaking Change
 
 * Ellipses (...) are now used consistently in the package to require optional arguments to be named. `collect_predictions()`, `collect_metrics()` and `show_best()` methods previously had ellipses at the end of the function signature  that have been moved to follow the last argument without a default value. Optional arguments previously passed by position will now error informatively prompting them to be named (#105).

diff --git a/README.Rmd b/README.Rmd
@@ -111,7 +111,7 @@ show_best(grid_win_loss, metric = "roc_auc", n = 2)
 
 This project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
 
-- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question).
+- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit Community](https://forum.posit.co/new-topic?category_id=15&tags=tidymodels,question).
 
 - If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/usemodels/issues).
 

diff --git a/README.md b/README.md
@@ -110,10 +110,13 @@ set.seed(4)
 grid_anova <- 
   rda_spec %>% 
   tune_race_anova(Class ~ ., resamples = rs, grid = grid, control = ctrl)
+#> ℹ Evaluating against the initial 3 burn-in resamples.
 #> ℹ Racing will maximize the roc_auc metric.
 #> ℹ Resamples are analyzed in a random order.
 #> ℹ Bootstrap10: 14 eliminated; 6 candidates remain.
+#> 
 #> ℹ Bootstrap04: 2 eliminated; 4 candidates remain.
+#> 
 #> ℹ Bootstrap03: All but one parameter combination were eliminated.
 
 show_best(grid_anova, metric = "roc_auc", n = 2)
@@ -134,11 +137,17 @@ grid_win_loss<-
 #> ℹ Racing will maximize the roc_auc metric.
 #> ℹ Resamples are analyzed in a random order.
 #> ℹ Bootstrap10: 3 eliminated; 17 candidates remain.
+#> 
 #> ℹ Bootstrap04: 2 eliminated; 15 candidates remain.
+#> 
 #> ℹ Bootstrap03: 2 eliminated; 13 candidates remain.
+#> 
 #> ℹ Bootstrap01: 1 eliminated; 12 candidates remain.
+#> 
 #> ℹ Bootstrap07: 1 eliminated; 11 candidates remain.
+#> 
 #> ℹ Bootstrap05: 1 eliminated; 10 candidates remain.
+#> 
 #> ℹ Bootstrap08: 1 eliminated; 9 candidates remain.
 
 show_best(grid_win_loss, metric = "roc_auc", n = 2)
@@ -157,7 +166,7 @@ By contributing to this project, you agree to abide by its terms.
 
 - For questions and discussions about tidymodels packages, modeling, and
   machine learning, please [post on Posit
-  Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question).
+  Community](https://forum.posit.co/new-topic?category_id=15&tags=tidymodels,question).
 
 - If you think you have encountered a bug, please [submit an
   issue](https://github.com/tidymodels/usemodels/issues).
-Original file line number
+Diff line change
@@ Expand Up / @@ -9,3 +9,4 @@ @@
     ^\.github$
     ^docs$
     ^pkgdown$
+    ^revdep