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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)... 3.82 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.39 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)... 3.89 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.54 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)... 3.94 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.39 seconds 3) Running FUN 2 times in 2 thread(s)... 0.25 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)... 8.41 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)... 1.23 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)... 9.24 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.84 seconds 3) Running FUN 2 times in 2 thread(s)... 1.14 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)... 8.2 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.73 seconds 3) Running FUN 2 times in 2 thread(s)... 0.93 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)... 3.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.42 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)... 3.53 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)... 0.3 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)... 3.66 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.46 seconds 3) Running FUN 2 times in 2 thread(s)... 0.22 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)... 4.27 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.83 seconds 3) Running FUN 2 times in 2 thread(s)... 0.32 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)... 4.45 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.65 seconds 3) Running FUN 2 times in 2 thread(s)... 0.36 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)... 4.52 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.79 seconds 3) Running FUN 2 times in 2 thread(s)... 0.34 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)... 5.37 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 19.94 seconds 3) Running FUN 2 times in 2 thread(s)... 0.75 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)... 5.32 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.45 seconds 3) Running FUN 2 times in 2 thread(s)... 0.89 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)... 5.88 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.57 seconds 3) Running FUN 2 times in 2 thread(s)... 1.08 seconds CV fold: Fold1 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.06 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.75 seconds 3) Running FUN 2 times in 2 thread(s)... 0.39 seconds CV fold: Fold2 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... 11.27 seconds 3) Running FUN 2 times in 2 thread(s)... 0.41 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 5.02 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 12.17 seconds 3) Running FUN 2 times in 2 thread(s)... 0.45 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)... 5.53 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)... 0.61 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)... 5.65 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.89 seconds 3) Running FUN 2 times in 2 thread(s)... 0.59 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)... 5.66 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.47 seconds 3) Running FUN 2 times in 2 thread(s)... 0.66 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)... 10.15 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.84 seconds 3) Running FUN 2 times in 2 thread(s)... 1.6 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)... 10.41 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.76 seconds 3) Running FUN 2 times in 2 thread(s)... 1.18 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)... 9.92 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.55 seconds 3) Running FUN 2 times in 2 thread(s)... 2.53 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)... 4.51 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.79 seconds 3) Running FUN 2 times in 2 thread(s)... 0.42 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)... 5.21 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.82 seconds 3) Running FUN 2 times in 2 thread(s)... 0.45 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)... 4.81 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.92 seconds 3) Running FUN 2 times in 2 thread(s)... 0.37 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)... 3.81 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.51 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)... 3.59 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.46 seconds 3) Running FUN 2 times in 2 thread(s)... 0.21 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)... 3.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.54 seconds 3) Running FUN 2 times in 2 thread(s)... 0.35 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)... 7.7 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.06 seconds 3) Running FUN 2 times in 2 thread(s)... 1.69 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)... 7.47 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.63 seconds 3) Running FUN 2 times in 2 thread(s)... 1.8 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)... 7.85 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.89 seconds 3) Running FUN 2 times in 2 thread(s)... 2.14 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)... 4.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 16.32 seconds 3) Running FUN 2 times in 2 thread(s)... 0.53 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)... 4.54 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.25 seconds 3) Running FUN 2 times in 2 thread(s)... 0.36 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)... 4.23 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.39 seconds 3) Running FUN 2 times in 2 thread(s)... 0.43 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 57.42 3.78 493.48