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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 > > 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... 0.3 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)... 2.19 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.36 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)... 2.44 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)... 0.19 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)... 5.6 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.55 seconds 3) Running FUN 2 times in 2 thread(s)... 1.02 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)... 6.21 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)... 0.87 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)... 6.31 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)... 0.91 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)... 2.19 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)... 2.28 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.25 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)... 2.23 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: 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)... 2.86 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.79 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)... 2.81 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.04 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)... 2.57 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.42 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)... 3.24 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 14 seconds 3) Running FUN 2 times in 2 thread(s)... 0.57 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)... 3.19 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.96 seconds 3) Running FUN 2 times in 2 thread(s)... 0.6 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)... 3.56 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)... 0.72 seconds CV fold: Fold1 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... 4.96 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)... 3.08 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.86 seconds 3) Running FUN 2 times in 2 thread(s)... 0.29 seconds CV fold: Fold3 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... 6.86 seconds 3) Running FUN 2 times in 2 thread(s)... 0.33 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)... 3.53 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.02 seconds 3) Running FUN 2 times in 2 thread(s)... 0.39 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)... 3.58 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)... 0.39 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)... 3.61 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.8 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)... 7.02 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)... 1.14 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)... 6.98 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)... 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)... 6.8 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)... 1.74 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)... 2.94 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: 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)... 3.16 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)... 3.28 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)... 2.33 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.86 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)... 2.56 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.77 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)... 2.48 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)... 0.18 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)... 4.7 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.77 seconds 3) Running FUN 2 times in 2 thread(s)... 1.28 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)... 4.29 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.79 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)... 5.1 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.39 seconds 3) Running FUN 2 times in 2 thread(s)... 1.41 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)... 2.78 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 11.69 seconds 3) Running FUN 2 times in 2 thread(s)... 0.37 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)... 2.53 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.49 seconds 3) Running FUN 2 times in 2 thread(s)... 0.26 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)... 2.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.98 seconds 3) Running FUN 2 times in 2 thread(s)... 0.3 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 40.56 2.18 328.34