R Under development (unstable) (2024-03-07 r86063 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. 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(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)... 4.5 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.94 seconds 3) Running FUN 2 times in 2 thread(s)... 0.67 seconds CV fold: Fold2 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 4.53 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 1.07 seconds 3) Running FUN 2 times in 2 thread(s)... 0.64 seconds CV fold: Fold3 Registering parallel backend using 2 cores. Running initial scoring function 6 times in 2 thread(s)... 4.53 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)... 0.7 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)... 3.92 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... 7.03 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)... 4.06 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 14.01 seconds 3) Running FUN 2 times in 2 thread(s)... 0.4 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)... 3.83 seconds Starting Epoch 1 1) Fitting Gaussian Process... - Could not obtain meaningful lengthscales. 2) Running local optimum search... 0.69 seconds 3) Running FUN 2 times in 2 thread(s)... 0.26 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)... 3.78 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.47 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)... 4.17 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.43 seconds 3) Running FUN 2 times in 2 thread(s)... 0.31 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)... 3.86 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 0.45 seconds 3) Running FUN 2 times in 2 thread(s)... 0.28 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)... 4.52 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 10.22 seconds 3) Running FUN 2 times in 2 thread(s)... 0.5 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)... 4.43 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 9.29 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)... 4.79 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 11.94 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)... 3.68 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 3.72 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)... 3.88 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... - Convergence Not Found. Trying again with tighter parameters... - Maximum convergence attempts exceeded - process is probably sampling random points. 78.23 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)... 3.55 seconds Starting Epoch 1 1) Fitting Gaussian Process... 2) Running local optimum search... 2.34 seconds 3) Running FUN 2 times in 2 thread(s)... 0.25 seconds [ FAIL 0 | WARN 0 | SKIP 1 | PASS 17 ] ══ Skipped tests (1) ═══════════════════════════════════════════════════════════ • On CRAN (1): 'test-lints.R:10:5' [ FAIL 0 | WARN 0 | SKIP 1 | PASS 17 ] > > proc.time() user system elapsed 84.50 1.51 238.14