Release Candidate 0.5.4

DESCRIPTION

@@ -1,23 +1,23 @@
 Type: Package
 Package: lime
 Title: Local Interpretable Model-Agnostic Explanations
-Version: 0.5.3.9000
+Version: 0.5.4.9000
 Authors@R: c(
-    person("Emil", "Hvitfeldt", , "[email protected]", role = c("aut", "cre"),
+    person("Emil", "Hvitfeldt", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-0679-1945")),
     person("Thomas Lin", "Pedersen", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0002-5147-4711")),
     person("Michaël", "Benesty", , "[email protected]", role = "aut")
   )
-Maintainer: Emil Hvitfeldt <[email protected]>
+Maintainer: Emil Hvitfeldt <[email protected]>
 Description: When building complex models, it is often difficult to
     explain why the model should be trusted. While global measures such as
     accuracy are useful, they cannot be used for explaining why a model
     made a specific prediction. 'lime' (a port of the 'lime' 'Python'
     package) is a method for explaining the outcome of black box models by
     fitting a local model around the point in question an perturbations of
     this point. The approach is described in more detail in the article by
-    Ribeiro et al. (2016) <arXiv:1602.04938>.
+    Ribeiro et al. (2016) <doi:10.48550/arXiv.1602.04938>.
 License: MIT + file LICENSE
 URL: https://lime.data-imaginist.com, https://github.com/tidymodels/lime,
     https://lime.data-imaginist.com/

NEWS.md

@@ -1,5 +1,7 @@
 # lime (development version)
 
+# lime 0.5.4
+
 * Make package work with all versions of xgboost. (#202)
 
 # lime 0.5.3

README.Rmd

@@ -19,8 +19,8 @@ knitr::opts_chunk$set(
 [![Codecov test coverage](https://codecov.io/gh/tidymodels/lime/graph/badge.svg)](https://app.codecov.io/gh/tidymodels/lime)
 [![CRAN_Release_Badge](http://www.r-pkg.org/badges/version-ago/lime)](https://CRAN.R-project.org/package=lime)
 [![CRAN_Download_Badge](http://cranlogs.r-pkg.org/badges/lime)](https://CRAN.R-project.org/package=lime)
-[![R-CMD-check](https://github.com/thomasp85/lime/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/thomasp85/lime/actions/workflows/R-CMD-check.yaml)
-[![Codecov test coverage](https://codecov.io/gh/thomasp85/lime/graph/badge.svg)](https://app.codecov.io/gh/thomasp85/lime)
+[![R-CMD-check](https://github.com/tidymodels/lime/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/lime/actions/workflows/R-CMD-check.yaml)
+[![Codecov test coverage](https://codecov.io/gh/tidymodels/lime/graph/badge.svg)](https://app.codecov.io/gh/tidymodels/lime)
 <!-- badges: end -->
 
 > There once was a package called lime,

README.md

@@ -10,9 +10,9 @@
 coverage](https://codecov.io/gh/tidymodels/lime/graph/badge.svg)](https://app.codecov.io/gh/tidymodels/lime)
 [![CRAN_Release_Badge](http://www.r-pkg.org/badges/version-ago/lime)](https://CRAN.R-project.org/package=lime)
 [![CRAN_Download_Badge](http://cranlogs.r-pkg.org/badges/lime)](https://CRAN.R-project.org/package=lime)
-[![R-CMD-check](https://github.com/thomasp85/lime/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/thomasp85/lime/actions/workflows/R-CMD-check.yaml)
+[![R-CMD-check](https://github.com/tidymodels/lime/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/lime/actions/workflows/R-CMD-check.yaml)
 [![Codecov test
-coverage](https://codecov.io/gh/thomasp85/lime/graph/badge.svg)](https://app.codecov.io/gh/thomasp85/lime)
+coverage](https://codecov.io/gh/tidymodels/lime/graph/badge.svg)](https://app.codecov.io/gh/tidymodels/lime)
 <!-- badges: end -->
 
 > There once was a package called lime,
@@ -80,16 +80,16 @@ explanation
 #> # A tibble: 10 × 13
 #>    model_type   case  label label_prob model_r2 model_intercept model_prediction
 #>    <chr>        <chr> <chr>      <dbl>    <dbl>           <dbl>            <dbl>
-#>  1 classificat… 1     seto…          1    0.686           0.125            0.978
-#>  2 classificat… 1     seto…          1    0.686           0.125            0.978
-#>  3 classificat… 2     seto…          1    0.696           0.119            0.982
-#>  4 classificat… 2     seto…          1    0.696           0.119            0.982
-#>  5 classificat… 3     seto…          1    0.682           0.123            0.977
-#>  6 classificat… 3     seto…          1    0.682           0.123            0.977
-#>  7 classificat… 4     seto…          1    0.679           0.124            0.979
-#>  8 classificat… 4     seto…          1    0.679           0.124            0.979
-#>  9 classificat… 5     seto…          1    0.688           0.123            0.988
-#> 10 classificat… 5     seto…          1    0.688           0.123            0.988
+#>  1 classificat… 1     seto…          1    0.700           0.120            0.984
+#>  2 classificat… 1     seto…          1    0.700           0.120            0.984
+#>  3 classificat… 2     seto…          1    0.681           0.128            0.978
+#>  4 classificat… 2     seto…          1    0.681           0.128            0.978
+#>  5 classificat… 3     seto…          1    0.686           0.126            0.976
+#>  6 classificat… 3     seto…          1    0.686           0.126            0.976
+#>  7 classificat… 4     seto…          1    0.708           0.119            0.982
+#>  8 classificat… 4     seto…          1    0.708           0.119            0.982
+#>  9 classificat… 5     seto…          1    0.682           0.126            0.981
+#> 10 classificat… 5     seto…          1    0.682           0.126            0.981
 #> # ℹ 6 more variables: feature <chr>, feature_value <dbl>, feature_weight <dbl>,
 #> #   feature_desc <chr>, data <list>, prediction <list>
 

cran-comments.md

@@ -1,4 +1,4 @@
-Small patch release with main event being a maintainer change
+Small patch release to fix breaking tests on CRAN
 
 ## revdepcheck results