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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 > > Sys.setenv("OMP_THREAD_LIMIT" = 2) > Sys.setenv("Ncpu" = 2) > > library(testthat) > library(mlsurvlrnrs) > > test_check("mlsurvlrnrs") CV fold: Fold1 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold2 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold3 Parameter 'ncores' is ignored for learner 'LearnerSurvCoxPHCox'. CV fold: Fold1 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 3.45 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)... 0.46 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 3.82 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)... 0.49 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 3.76 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)... 0.48 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)... 2.89 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... - Convergence Not Found. Trying again with tighter parameters... - Convergence Not Found. Trying again with tighter parameters... 4.07 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)... 3.01 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.26 seconds 3) Running FUN 2 times in 2 thread(s)... 0.25 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)... 3.08 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... 0.47 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)... 2.87 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)... 0.23 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)... 3.03 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)... 0.25 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)... 3.17 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)... 0.23 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)... 3.3 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.39 seconds 3) Running FUN 2 times in 2 thread(s)... 0.26 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)... 4.17 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)... 0.29 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... 3.94 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 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)... 2.7 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.14 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)... 2.81 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.47 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)... 3.28 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)... 0.25 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 0 | WARN 1 | SKIP 1 | PASS 23 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' [ FAIL 0 | WARN 1 | SKIP 1 | PASS 23 ] > > proc.time() user system elapsed 18.40 1.06 107.25