Merge pull request #123 from tidymodels/RC-0.5.1

Release candidate 0.5.1

Author: EmilHvitfeldt

.Rbuildignore

@@ -21,3 +21,4 @@ config.toml
 ^\.github$
 ^CODE_OF_CONDUCT\.md$
 ^LICENSE\.md$
+^CRAN-SUBMISSION$

DESCRIPTION

@@ -1,8 +1,9 @@
 Package: tidypredict
 Title: Run Predictions Inside the Database
-Version: 0.5
+Version: 0.5.1.9000
 Authors@R: c(
-    person("Edgar", "Ruiz", , "[email protected]", role = c("aut", "cre")),
+    person("Emil", "Hvitfeldt", , "[email protected]", role = c("aut", "cre")),
+    person("Edgar", "Ruiz", , "[email protected]", role = "aut"),
     person("Max", "Kuhn", , "[email protected]", role = "aut")
   )
 Description: It parses a fitted 'R' model object, and returns a formula in

NEWS.md

@@ -1,5 +1,9 @@
 # tidypredict (development version)
 
+# tidypredict 0.5.1
+
+- Exported a number of internal functions to be used in {orbital} package
+
 # tidypredict 0.5
 
 - Changes maintainer to Edgar Ruiz

R/model-partykit.R

@@ -103,6 +103,9 @@ tidypredict_fit.party <- function(model) {
 }
 
 # For {orbital}
+#' Extract classprob trees for partykit models
+#' 
+#' For use in orbital package.
 #' @keywords internal
 #' @export
 .extract_partykit_classprob <- function(model) {

R/model-xgboost.R

@@ -185,6 +185,9 @@ tidypredict_fit.xgb.Booster <- function(model) {
 }
 
 # For {orbital}
+#' Extract processed xgboost trees
+#' 
+#' For use in orbital package.
 #' @keywords internal
 #' @export
 .extract_xgb_trees <- function(model) {

README.Rmd

@@ -119,7 +119,7 @@ tidy(pm)
 
 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 RStudio 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/tidypredict/issues).
 

README.md

@@ -24,7 +24,7 @@ several databases back-ends, such as MS SQL:
 tidypredict_sql(model, dbplyr::simulate_mssql())
 ```
 
-    ## <SQL> (39.6862614802529 + (`wt` * -3.19097213898375)) + (`cyl` * -1.5077949682598)
+    ## <SQL> (39.686261480253 + (`wt` * -3.19097213898374)) + (`cyl` * -1.5077949682598)
 
 ## Installation
 
@@ -47,16 +47,16 @@ remotes::install_github("tidymodels/tidypredict")
 number to grow much. The main focus at this time is to add more models
 to support.
 
-| Function                     | Description                                                                    |
-|------------------------------|--------------------------------------------------------------------------------|
-| `tidypredict_fit()`          | Returns an R formula that calculates the prediction                            |
-| `tidypredict_sql()`          | Returns a SQL query based on the formula from `tidypredict_fit()`              |
-| `tidypredict_to_column()`    | Adds a new column using the formula from `tidypredict_fit()`                   |
-| `tidypredict_test()`         | Tests `tidyverse` predictions against the model’s native `predict()` function  |
-| `tidypredict_interval()`     | Same as `tidypredict_fit()` but for intervals (only works with `lm` and `glm`) |
+| Function | Description |
+|----|----|
+| `tidypredict_fit()` | Returns an R formula that calculates the prediction |
+| `tidypredict_sql()` | Returns a SQL query based on the formula from `tidypredict_fit()` |
+| `tidypredict_to_column()` | Adds a new column using the formula from `tidypredict_fit()` |
+| `tidypredict_test()` | Tests `tidyverse` predictions against the model’s native `predict()` function |
+| `tidypredict_interval()` | Same as `tidypredict_fit()` but for intervals (only works with `lm` and `glm`) |
 | `tidypredict_sql_interval()` | Same as `tidypredict_sql()` but for intervals (only works with `lm` and `glm`) |
-| `parse_model()`              | Creates a list spec based on the R model                                       |
-| `as_parsed_model()`          | Prepares an object to be recognized as a parsed model                          |
+| `parse_model()` | Creates a list spec based on the R model |
+| `as_parsed_model()` | Prepares an object to be recognized as a parsed model |
 
 ## How it works
 
@@ -146,8 +146,8 @@ 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 RStudio
-  Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question).
+  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/tidypredict/issues).

cran-comments.md

@@ -1,30 +1,18 @@
 ## Release summary
 
-- Addresses CRAN Package Test Results issues
-
-- Changes maintainer to Edgar Ruiz
-
-- Updates author's email addresses.
-
-- Removes dependency with `stringr`
-
-- Fixes issue with `earth` parsed_models (#108)
-
-- Addresses issues with XGBoost models
-
-- Improvements to XGBoosts tests
+- Exported a number of internal functions to be used in {orbital} package
 
 ## Comments
 
-* Having Max as the maintainer will guarantee good follow through for any communications with CRAN.  This is the reason why there is another update is such short order from the previous update in CRAN.  Thank you for your understanding.
+- Switches maintainer to Emil Hvitfeldt
 
 ## R CMD check results
 
 * 0 errors | 0 warnings | 0 notes
 
 ## revdepcheck results
 
-We checked 2 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
+We checked 3 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