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Type 'q()' to quit R. > # 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)... 4.13 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.7 seconds 3) Running FUN 2 times in 2 thread(s)... 0.34 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)... 4.31 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.36 seconds 3) Running FUN 2 times in 2 thread(s)... 0.33 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)... 4.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 9.37 seconds 3) Running FUN 2 times in 2 thread(s)... 0.46 seconds 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 CV fold: Fold2 CV fold: Fold3 CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 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 CV fold: Fold2 CV fold: Fold3 CV fold: Fold1 Registering parallel backend using 2 cores. Running initial scoring function 5 times in 2 thread(s)... 3.03 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.74 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 5 times in 2 thread(s)... 3.25 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.05 seconds 3) Running FUN 2 times in 2 thread(s)... 0.23 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 5 times in 2 thread(s)... 3.22 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1 seconds 3) Running FUN 2 times in 2 thread(s)... 0.31 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)... 4.06 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.67 seconds 3) Running FUN 2 times in 2 thread(s)... 0.33 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)... 4.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.75 seconds 3) Running FUN 2 times in 2 thread(s)... 0.41 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)... 4.31 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 16.92 seconds 3) Running FUN 2 times in 2 thread(s)... 0.36 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 0 | WARN 3 | SKIP 3 | PASS 34 ] ══ Skipped tests (3) ═══════════════════════════════════════════════════════════ • On CRAN (3): 'test-binary.R:57:5', 'test-lints.R:10:5', 'test-multiclass.R:57:5' [ FAIL 0 | WARN 3 | SKIP 3 | PASS 34 ] > > proc.time() user system elapsed 54.46 7.10 135.59