Last updated on 2024-06-21 15:53:23 CEST.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| miesmuschel | 13 | ||
| mlr | 4 | 9 | |
| mlr3pipelines | 1 | 12 | |
| paradox | 2 | 11 |
Current CRAN status: OK: 13
Current CRAN status: NOTE: 4, OK: 9
Version: 2.19.2
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘Rmpi’
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64
Version: 2.19.2
Check: installed package size
Result: NOTE
installed size is 5.6Mb
sub-directories of 1Mb or more:
R 2.0Mb
data 2.3Mb
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64
Current CRAN status: ERROR: 1, OK: 12
Version: 0.5.2
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_graphs_stacking
> ### Title: Create A Graph to Perform Stacking.
> ### Aliases: mlr_graphs_stacking pipeline_stacking
>
> ### ** Examples
>
> ## Don't show:
> if (requireNamespace("rpart")) {
+ ## End(Don't show)
+ if (requireNamespace("kknn")) {
+ library(mlr3)
+ library(mlr3learners)
+
+ base_learners = list(
+ lrn("classif.rpart", predict_type = "prob"),
+ lrn("classif.kknn", predict_type = "prob")
+ )
+ super_learner = lrn("classif.log_reg")
+
+ graph_stack = pipeline_stacking(base_learners, super_learner)
+ graph_learner = as_learner(graph_stack)
+ graph_learner$train(tsk("german_credit"))
+ }
+ ## Don't show:
+ }
Loading required namespace: kknn
Error in library(mlr3learners) :
there is no package called ‘mlr3learners’
Execution halted
Flavor: r-release-macos-x86_64
Current CRAN status: ERROR: 2, OK: 11
Version: 1.0.0
Check: running R code from vignettes
Result: ERROR
Errors in running code in vignettes:
when running code in ‘indepth.Rmd’
...
$y
[1] 2.5
> ps1$values$x = 1.5
When sourcing ‘indepth.R’:
Error: Assertion on 'xs' failed: x: Must be of type 'single integerish value', not 'double'.
Execution halted
‘indepth.Rmd’ using ‘UTF-8’... failed
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64