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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 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)... 2.42 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.28 seconds 3) Running FUN 2 times in 2 thread(s)... 0.21 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)... 2.58 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.38 seconds 3) Running FUN 2 times in 2 thread(s)... 0.19 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)... 2.84 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.3 seconds 3) Running FUN 2 times in 2 thread(s)... 0.21 seconds 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)... 6.52 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.52 seconds 3) Running FUN 2 times in 2 thread(s)... 0.94 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)... 6.73 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.68 seconds 3) Running FUN 2 times in 2 thread(s)... 0.93 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)... 6.03 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.56 seconds 3) Running FUN 2 times in 2 thread(s)... 0.86 seconds 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)... 2.47 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.27 seconds 3) Running FUN 2 times in 2 thread(s)... 0.17 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)... 2.75 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.28 seconds 3) Running FUN 2 times in 2 thread(s)... 0.18 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)... 2.46 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.28 seconds 3) Running FUN 2 times in 2 thread(s)... 0.17 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 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)... 2.78 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.8 seconds 3) Running FUN 2 times in 2 thread(s)... 0.24 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)... 2.65 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.33 seconds 3) Running FUN 2 times in 2 thread(s)... 0.27 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)... 3.22 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.92 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 seconds 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)... 3.73 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 15.05 seconds 3) Running FUN 2 times in 2 thread(s)... 0.52 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)... 3.81 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.92 seconds 3) Running FUN 2 times in 2 thread(s)... 0.71 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)... 3.96 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.43 seconds 3) Running FUN 2 times in 2 thread(s)... 0.87 seconds CV fold: Fold1 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 3.63 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.8 seconds 3) Running FUN 2 times in 2 thread(s)... 0.27 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 3.12 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.84 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 3.01 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.89 seconds 3) Running FUN 2 times in 2 thread(s)... 0.32 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 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)... 3.71 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.63 seconds 3) Running FUN 2 times in 2 thread(s)... 0.4 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)... 4.09 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.66 seconds 3) Running FUN 2 times in 2 thread(s)... 0.41 seconds Errors encountered in FUN 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)... 3.84 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.11 seconds 3) Running FUN 2 times in 2 thread(s)... 0.44 seconds 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)... 7.1 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.25 seconds 3) Running FUN 2 times in 2 thread(s)... 1.24 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)... 7.42 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.28 seconds 3) Running FUN 2 times in 2 thread(s)... 0.92 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)... 7.7 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.24 seconds 3) Running FUN 2 times in 2 thread(s)... 1.81 seconds 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)... 3.19 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.57 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 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)... 3.47 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.56 seconds 3) Running FUN 2 times in 2 thread(s)... 0.3 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)... 3.31 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.67 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 seconds 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)... 2.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.69 seconds 3) Running FUN 2 times in 2 thread(s)... 0.25 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)... 2.61 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.39 seconds 3) Running FUN 2 times in 2 thread(s)... 0.2 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)... 2.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.78 seconds 3) Running FUN 2 times in 2 thread(s)... 0.22 seconds 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)... 6.16 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.72 seconds 3) Running FUN 2 times in 2 thread(s)... 1.47 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)... 5.53 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.57 seconds 3) Running FUN 2 times in 2 thread(s)... 1.39 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)... 5.97 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.65 seconds 3) Running FUN 2 times in 2 thread(s)... 1.43 seconds 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)... 2.86 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 11.61 seconds 3) Running FUN 2 times in 2 thread(s)... 0.38 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)... 3.03 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.72 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 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)... 3 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.16 seconds 3) Running FUN 2 times in 2 thread(s)... 0.32 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 0 | WARN 3 | SKIP 1 | PASS 49 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' [ FAIL 0 | WARN 3 | SKIP 1 | PASS 49 ] > > proc.time() user system elapsed 42.84 2.09 355.35