- using R version 4.6.1 (2026-06-24)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-16 (Debian 16.1.0-2) 16.1.0
GNU Fortran (Debian 16.1.0-2) 16.1.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
* current time: 2026-07-25 15:57:31 UTC
- checking for file ‘mlr3tuningspaces/DESCRIPTION’ ... OK
- this is package ‘mlr3tuningspaces’ version ‘0.6.0’
- package encoding: UTF-8
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
- checking for executable files ... OK
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- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking serialization versions ... OK
- checking whether package ‘mlr3tuningspaces’ can be installed ... OK
See the install log for details.
- checking package directory ... OK
- checking for future file timestamps ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
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- checking package subdirectories ... OK
- checking code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [1s/1s] OK
- checking whether the package can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the package can be unloaded cleanly ... [1s/1s] OK
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- checking R code for possible problems ... [7s/10s] OK
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- checking for code/documentation mismatches ... OK
- checking Rd \usage sections ... OK
- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking examples ... [2s/4s] ERROR
Running examples in ‘mlr3tuningspaces-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: TuningSpace
> ### Title: Tuning Spaces
> ### Aliases: TuningSpace
>
> ### ** Examples
>
> library(mlr3tuning)
>
> # Get default tuning space of rpart learner
> tuning_space = lts("classif.rpart.default")
>
> # Set tuning space
> learner = lrn("classif.rpart")
> learner$param_set$values = tuning_space$values
>
> # Tune learner
> instance = tune(
+ tnr("random_search"),
+ task = tsk("pima"),
+ learner = learner,
+ resampling = rsmp ("holdout"),
+ measure = msr("classif.ce"),
+ term_evals = 10)
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tune ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [62s/91s] OK
Running ‘testthat.R’ [62s/90s]
- checking PDF version of manual ... [4s/6s] OK
- checking HTML version of manual ... [2s/3s] OK
- checking for non-standard things in the check directory ... OK
- DONE
Status: 1 ERROR