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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)... 2.62 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.29 seconds 3) Running FUN 2 times in 2 thread(s)... 0.22 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)... 2.33 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.35 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)... 2.29 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)... 0.18 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)... 6.03 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.49 seconds 3) Running FUN 2 times in 2 thread(s)... 0.79 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)... 6.49 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.59 seconds 3) Running FUN 2 times in 2 thread(s)... 0.84 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)... 5.94 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.53 seconds 3) Running FUN 2 times in 2 thread(s)... 0.85 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)... 2.18 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.26 seconds 3) Running FUN 2 times in 2 thread(s)... 0.18 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)... 2.27 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: 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)... 2.34 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.26 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)... 2.81 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)... 0.23 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)... 2.72 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.58 seconds 3) Running FUN 2 times in 2 thread(s)... 0.23 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)... 2.65 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.39 seconds 3) Running FUN 2 times in 2 thread(s)... 0.25 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)... 3.49 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 13.84 seconds 3) Running FUN 2 times in 2 thread(s)... 0.56 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)... 3.22 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.83 seconds 3) Running FUN 2 times in 2 thread(s)... 0.69 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)... 3.64 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.34 seconds 3) Running FUN 2 times in 2 thread(s)... 0.84 seconds CV fold: Fold1 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... 4.67 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 10 times in 2 thread(s)... 2.84 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.27 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)... 3.21 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.42 seconds 3) Running FUN 2 times in 2 thread(s)... 0.35 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)... 3.56 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.38 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)... 3.46 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.64 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)... 3.59 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.32 seconds 3) Running FUN 2 times in 2 thread(s)... 0.46 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)... 7.14 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.23 seconds 3) Running FUN 2 times in 2 thread(s)... 1.17 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)... 6.94 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.22 seconds 3) Running FUN 2 times in 2 thread(s)... 0.86 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)... 7.05 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.22 seconds 3) Running FUN 2 times in 2 thread(s)... 1.77 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)... 3.17 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: 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)... 3.2 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.58 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)... 3.49 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.65 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)... 2.16 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.79 seconds 3) Running FUN 2 times in 2 thread(s)... 0.23 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)... 2.26 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.82 seconds 3) Running FUN 2 times in 2 thread(s)... 0.17 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)... 2.62 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.67 seconds 3) Running FUN 2 times in 2 thread(s)... 0.23 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)... 5.3 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.1 seconds 3) Running FUN 2 times in 2 thread(s)... 1.26 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)... 5.03 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.7 seconds 3) Running FUN 2 times in 2 thread(s)... 1.36 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)... 5.42 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.35 seconds 3) Running FUN 2 times in 2 thread(s)... 1.44 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)... 2.87 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 11.99 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)... 2.85 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.58 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)... 2.73 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.99 seconds 3) Running FUN 2 times in 2 thread(s)... 0.31 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 41.20 2.01 330.46