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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)... 2.65 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.31 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)... 2.24 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)... 0.19 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)... 2.61 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)... 0.22 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)... 6.05 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.34 seconds 3) Running FUN 2 times in 2 thread(s)... 0.82 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)... 6.15 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.72 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)... 5.7 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.78 seconds 3) Running FUN 2 times in 2 thread(s)... 0.8 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)... 2.34 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)... 0.19 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... 0.27 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)... 2.75 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: 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)... 2.84 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.55 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)... 2.67 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.64 seconds 3) Running FUN 2 times in 2 thread(s)... 0.22 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)... 2.72 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 13.64 seconds 3) Running FUN 2 times in 2 thread(s)... 0.32 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)... 3.46 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.36 seconds 3) Running FUN 2 times in 2 thread(s)... 0.8 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)... 3.72 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 4.44 seconds 3) Running FUN 2 times in 2 thread(s)... 0.67 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)... 3.93 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.5 seconds 3) Running FUN 2 times in 2 thread(s)... 1.04 seconds CV fold: Fold1 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 3.41 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.41 seconds 3) Running FUN 2 times in 2 thread(s)... 0.36 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 10 times in 2 thread(s)... 3.09 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 7.3 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)... 3.03 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)... 0.36 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)... 3.61 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.86 seconds 3) Running FUN 2 times in 2 thread(s)... 0.36 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)... 3.61 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)... 0.2 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)... 3.64 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.06 seconds 3) Running FUN 2 times in 2 thread(s)... 0.45 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)... 6.51 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.28 seconds 3) Running FUN 2 times in 2 thread(s)... 1 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)... 6.32 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.64 seconds 3) Running FUN 2 times in 2 thread(s)... 0.48 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)... 6.72 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.46 seconds 3) Running FUN 2 times in 2 thread(s)... 0.67 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)... 3.62 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.62 seconds 3) Running FUN 2 times in 2 thread(s)... 0.31 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)... 3.26 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.61 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)... 3.34 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.69 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)... 2.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 5.01 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)... 2.34 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.22 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)... 2.86 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.31 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)... 5.44 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.41 seconds 3) Running FUN 2 times in 2 thread(s)... 1.27 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)... 5.33 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.29 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)... 5.64 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.54 seconds 3) Running FUN 2 times in 2 thread(s)... 1.46 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)... 2.75 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 11.64 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)... 2.83 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.56 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)... 2.65 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)... 0.31 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 0 | WARN 0 | SKIP 1 | PASS 49 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' [ FAIL 0 | WARN 0 | SKIP 1 | PASS 49 ] > > proc.time() user system elapsed 42.03 2.06 343.84