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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)... 3.47 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.6 seconds 3) Running FUN 2 times in 2 thread(s)... 0.47 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 3.47 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)... 0.45 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 3.48 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)... 0.47 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... - 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... 4.27 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)... 3.02 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 8.72 seconds 3) Running FUN 2 times in 2 thread(s)... 0.24 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)... 2.98 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)... 0.22 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)... 3.19 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)... 0.23 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)... 3.33 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)... 3.37 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)... 0.25 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)... 3.27 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.42 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)... 3.42 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)... 0.27 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)... 3.25 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.92 seconds 3) Running FUN 2 times in 2 thread(s)... 0.27 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 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 6.02 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)... 2.69 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.6 seconds 3) Running FUN 2 times in 2 thread(s)... 0.2 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... 1.87 seconds 3) Running FUN 2 times in 2 thread(s)... 0.21 seconds CV fold: Fold1 CV fold: Fold2 CV fold: Fold3 [ FAIL 0 | WARN 0 | SKIP 1 | PASS 23 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' [ FAIL 0 | WARN 0 | SKIP 1 | PASS 23 ] > > proc.time() user system elapsed 18.78 1.14 107.40