* using log directory 'd:/Rcompile/CRANpkg/local/4.3/mlr3learners.Rcheck'
* using R version 4.3.3 (2024-02-29 ucrt)
* using platform: x86_64-w64-mingw32 (64-bit)
* R was compiled by
    gcc.exe (GCC) 12.3.0
    GNU Fortran (GCC) 12.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'mlr3learners/DESCRIPTION' ... OK
* this is package 'mlr3learners' version '0.7.0'
* 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 hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'mlr3learners' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [1s] OK
* checking whether the package can be loaded with stated dependencies ... [1s] OK
* checking whether the package can be unloaded cleanly ... [1s] OK
* checking whether the namespace can be loaded with stated dependencies ... [1s] OK
* checking whether the namespace can be unloaded cleanly ... [1s] OK
* checking loading without being on the library search path ... [1s] OK
* checking startup messages can be suppressed ... [1s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [19s] OK
* checking Rd files ... [2s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... [15s] OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... [83s] ERROR
  Running 'testthat.R' [83s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("mlr3learners")
  +   test_check("mlr3learners")
  + }
  Loading required package: mlr3
  WARN  [12:00:08.473] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:08.826] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:09.790] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:09.792] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:09.794] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:10.223] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:10.614] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:10.958] [mlr3] train: one multinomial or binomial class has fewer than 8  observations; dangerous ground
  WARN  [12:00:34.781] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:34.783] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  WARN  [12:00:34.920] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:34.921] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  WARN  [12:00:35.027] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:35.029] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  WARN  [12:00:35.219] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:35.222] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  WARN  [12:00:35.433] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:35.435] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  WARN  [12:00:35.562] [mlr3] train: glm.fit: algorithm did not converge
  WARN  [12:00:35.564] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
  # weights:  18 (10 variable)
  initial  value 164.791843 
  iter  10 value 16.177348
  iter  20 value 7.111438
  iter  30 value 6.182999
  iter  40 value 5.984028
  iter  50 value 5.961278
  iter  60 value 5.954900
  iter  70 value 5.951851
  iter  80 value 5.950343
  iter  90 value 5.949904
  iter 100 value 5.949867
  final  value 5.949867 
  stopped after 100 iterations
  [ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
  
  ══ Skipped tests (3) ═══════════════════════════════════════════════════════════
  • On CRAN (3): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
    'test_regr_xgboost.R:2:1'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test_regr_nnet.R:7:3'): autotest ──────────────────────────────────
  `result` is not TRUE
  
  `actual` is a list
  `expected` is a logical vector (TRUE)
  [score()] learner 'regr.nnet:response' on task 'sanity' failed: sanity check failed
  
  [ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... [31s] OK
* checking HTML version of manual ... [12s] OK
* DONE
Status: 1 ERROR