• using R Under development (unstable) (2025-12-26 r89238)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-15 (Debian 15.2.0-12) 15.2.0     GNU Fortran (Debian 15.2.0-12) 15.2.0
• running under: Debian GNU/Linux forky/sid
• using session charset: UTF-8
• checking for file ‘mllrnrs/DESCRIPTION’ ... OK
• this is package ‘mllrnrs’ version ‘0.0.7’
• package encoding: UTF-8
• checking CRAN incoming feasibility ... [1s/1s] OK
• 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
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘mllrnrs’ can be installed ... OK See the install log for details.
• checking package directory ... OK
• checking for future file timestamps ... OK
• checking ‘build’ 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 code files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... [0s/0s] OK
• checking whether the package can be loaded with stated dependencies ... [0s/0s] OK
• checking whether the package can be unloaded cleanly ... [0s/0s] OK
• checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK
• checking whether the namespace can be unloaded cleanly ... [0s/1s] OK
• checking loading without being on the library search path ... [0s/1s] OK
• checking whether startup messages can be suppressed ... [0s/0s] 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 ... [3s/6s] OK
• checking Rd files ... [0s/1s] OK
• checking Rd metadata ... OK
• checking Rd line widths ... 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 installed files from ‘inst/doc’ ... OK
• checking files in ‘vignettes’ ... OK
• checking examples ... [4s/4s] OK
• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [59s/210s] ERROR   Running ‘testthat.R’ [59s/209s] Running the tests in ‘tests/testthat.R’ failed. Complete output:   > # This file is part of the standard setup for testthat.   > # It is recommended that you do not modify it.   > #   > # Where should you do additional test configuration?   > # Learn more about the roles of various files in:   > # * https://r-pkgs.org/tests.html   > # * https://testthat.r-lib.org/reference/test_package.html#special-files   > # https://github.com/Rdatatable/data.table/issues/5658   > Sys.setenv("OMP_THREAD_LIMIT" = 2)   > Sys.setenv("Ncpu" = 2)   >   > library(testthat)   > library(mllrnrs)   >   > test_check("mllrnrs")      CV fold: Fold1      CV fold: Fold1      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 7.152 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 8.805 seconds     3) Running FUN 2 times in 2 thread(s)... 0.817 seconds      CV fold: Fold2      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 6.318 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 7.414 seconds     3) Running FUN 2 times in 2 thread(s)... 0.495 seconds      CV fold: Fold3      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 7.459 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 9.935 seconds     3) Running FUN 2 times in 2 thread(s)... 0.609 seconds      CV fold: Fold1       Classification: using 'mean classification error' as optimization metric.   Saving _problems/test-binary-287.R      CV fold: Fold1      CV fold: Fold2      CV fold: Fold3      CV fold: Fold1   Saving _problems/test-multiclass-162.R      CV fold: Fold1       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.      CV fold: Fold2       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.      CV fold: Fold3       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.       Classification: using 'mean classification error' as optimization metric.      CV fold: Fold1   Saving _problems/test-multiclass-294.R      CV fold: Fold1      Registering parallel backend using 2 cores.      Running initial scoring function 5 times in 2 thread(s)... 6.463 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 1.223 seconds     3) Running FUN 2 times in 2 thread(s)... 0.921 seconds      CV fold: Fold2      Registering parallel backend using 2 cores.      Running initial scoring function 5 times in 2 thread(s)... 7.079 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 1.552 seconds     3) Running FUN 2 times in 2 thread(s)... 1.171 seconds      CV fold: Fold3      Registering parallel backend using 2 cores.      Running initial scoring function 5 times in 2 thread(s)... 6.36 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 2.029 seconds     3) Running FUN 2 times in 2 thread(s)... 1.043 seconds      CV fold: Fold1      CV fold: Fold2      CV fold: Fold3      CV fold: Fold1       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.      CV fold: Fold2       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.      CV fold: Fold3       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.       Regression: using 'mean squared error' as optimization metric.      CV fold: Fold1      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 9.391 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 8.585 seconds     3) Running FUN 2 times in 2 thread(s)... 0.722 seconds      CV fold: Fold2      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 7.384 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 3.063 seconds     3) Running FUN 2 times in 2 thread(s)... 1.138 seconds      CV fold: Fold3      Number of rows of initialization grid > than 'options("mlexperiments.bayesian.max_init")'...   ... reducing initialization grid to 10 rows.      Registering parallel backend using 2 cores.      Running initial scoring function 10 times in 2 thread(s)... 6.34 seconds      Starting Epoch 1     1) Fitting Gaussian Process...     2) Running local optimum search... 14.623 seconds     3) Running FUN 2 times in 2 thread(s)... 0.97 seconds      CV fold: Fold1      CV fold: Fold2      CV fold: Fold3   [ FAIL 3 | WARN 0 | SKIP 3 | PASS 25 ]      ══ Skipped tests (3) ═══════════════════════════════════════════════════════════   • On CRAN (3): 'test-binary.R:57:5', 'test-lints.R:10:5',     'test-multiclass.R:57:5'      ══ Failed tests ════════════════════════════════════════════════════════════════   ── Error ('test-binary.R:287:5'): test nested cv, grid, binary - ranger ────────   Error in `xtfrm.data.frame(structure(list(`0` = 0.379858310721837, `1` = 0.620141689278164), row.names = c(NA, -1L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x55fcc8b59070>, .data.table.locked = TRUE))`: cannot xtfrm data frames   Backtrace:        ▆     1. ├─ranger_optimizer$execute() at test-binary.R:287:5     2. │ └─mlexperiments:::.run_cv(self = self, private = private)     3. │ └─mlexperiments:::.fold_looper(self, private)     4. │ ├─base::do.call(private$cv_run_model, run_args)     5. │ └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`)     6. │ ├─base::do.call(.cv_run_nested_model, args)     7. │ └─mlexperiments (local) `<fn>`(...)     8. │ └─hparam_tuner$execute(k = self$k_tuning)     9. │ └─mlexperiments:::.run_tuning(self = self, private = private, optimizer = optimizer)    10. │ └─mlexperiments:::.run_optimizer(...)    11. │ └─optimizer$execute(x = private$x, y = private$y, method_helper = private$method_helper)    12. │ ├─base::do.call(...)    13. │ └─mlexperiments (local) `<fn>`(...)    14. │ └─base::lapply(...)    15. │ └─mlexperiments (local) FUN(X[[i]], ...)    16. │ ├─base::do.call(FUN, fun_parameters)    17. │ └─mlexperiments (local) `<fn>`(...)    18. │ ├─base::do.call(private$fun_optim_cv, kwargs)    19. │ └─mllrnrs (local) `<fn>`(...)    20. │ ├─base::do.call(ranger_predict, pred_args)    21. │ └─mllrnrs (local) `<fn>`(...)    22. │ └─kdry::mlh_reshape(preds)    23. │ ├─data.table::as.data.table(object)[, cn[which.max(.SD)], by = seq_len(nrow(object))]    24. │ └─data.table:::`[.data.table`(...)    25. └─base::which.max(.SD)    26. ├─base::xtfrm(`<dt[,2]>`)    27. └─base::xtfrm.data.frame(`<dt[,2]>`)   ── Error ('test-multiclass.R:162:5'): test nested cv, grid, multiclass - lightgbm ──   Error in `xtfrm.data.frame(structure(list(`0` = 0.20774260202068, `1` = 0.136781829323219, `2` = 0.655475568656101), row.names = c(NA, -1L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x55fcc8b59070>, .data.table.locked = TRUE))`: cannot xtfrm data frames   Backtrace:        ▆     1. ├─lightgbm_optimizer$execute() at test-multiclass.R:162:5     2. │ └─mlexperiments:::.run_cv(self = self, private = private)     3. │ └─mlexperiments:::.fold_looper(self, private)     4. │ ├─base::do.call(private$cv_run_model, run_args)     5. │ └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`)     6. │ ├─base::do.call(.cv_run_nested_model, args)     7. │ └─mlexperiments (local) `<fn>`(...)     8. │ └─mlexperiments:::.cv_fit_model(...)     9. │ ├─base::do.call(self$learner$predict, pred_args)    10. │ └─mlexperiments (local) `<fn>`(...)    11. │ ├─base::do.call(private$fun_predict, kwargs)    12. │ └─mllrnrs (local) `<fn>`(...)    13. │ └─kdry::mlh_reshape(preds)    14. │ ├─data.table::as.data.table(object)[, cn[which.max(.SD)], by = seq_len(nrow(object))]    15. │ └─data.table:::`[.data.table`(...)    16. └─base::which.max(.SD)    17. ├─base::xtfrm(`<dt[,3]>`)    18. └─base::xtfrm.data.frame(`<dt[,3]>`)   ── Error ('test-multiclass.R:294:5'): test nested cv, grid, multi:softprob - xgboost, with weights ──   Error in `xtfrm.data.frame(structure(list(`0` = 0.250160574913025, `1` = 0.124035485088825, `2` = 0.62580394744873), row.names = c(NA, -1L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x55fcc8b59070>, .data.table.locked = TRUE))`: cannot xtfrm data frames   Backtrace:        ▆     1. ├─xgboost_optimizer$execute() at test-multiclass.R:294:5     2. │ └─mlexperiments:::.run_cv(self = self, private = private)     3. │ └─mlexperiments:::.fold_looper(self, private)     4. │ ├─base::do.call(private$cv_run_model, run_args)     5. │ └─mlexperiments (local) `<fn>`(train_index = `<int>`, fold_train = `<named list>`, fold_test = `<named list>`)     6. │ ├─base::do.call(.cv_run_nested_model, args)     7. │ └─mlexperiments (local) `<fn>`(...)     8. │ └─mlexperiments:::.cv_fit_model(...)     9. │ ├─base::do.call(self$learner$predict, pred_args)    10. │ └─mlexperiments (local) `<fn>`(...)    11. │ ├─base::do.call(private$fun_predict, kwargs)    12. │ └─mllrnrs (local) `<fn>`(...)    13. │ └─kdry::mlh_reshape(preds)    14. │ ├─data.table::as.data.table(object)[, cn[which.max(.SD)], by = seq_len(nrow(object))]    15. │ └─data.table:::`[.data.table`(...)    16. └─base::which.max(.SD)    17. ├─base::xtfrm(`<dt[,3]>`)    18. └─base::xtfrm.data.frame(`<dt[,3]>`)      [ FAIL 3 | WARN 0 | SKIP 3 | PASS 25 ]   Error:   ! Test failures.   Execution halted
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes ... OK
• checking re-building of vignette outputs ... [60s/63s] OK
• checking PDF version of manual ... [4s/6s] OK
• checking HTML version of manual ... [0s/1s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 1 ERROR