Last updated on 2024-07-12 15:52:53 CEST.

Flavor | Version | T_{install} | T_{check} | T_{total} | Status | Flags |
---|---|---|---|---|---|---|

r-devel-linux-x86_64-debian-clang | 0.7.0 | 14.13 | 195.42 | 209.55 | OK | |

r-devel-linux-x86_64-debian-gcc | 0.7.0 | 9.50 | 128.26 | 137.76 | OK | |

r-devel-linux-x86_64-fedora-clang | 0.7.0 | 249.81 | OK | |||

r-devel-linux-x86_64-fedora-gcc | 0.7.0 | 215.31 | OK | |||

r-devel-windows-x86_64 | 0.7.0 | 10.00 | 150.00 | 160.00 | OK | |

r-patched-linux-x86_64 | 0.7.0 | 14.45 | 164.23 | 178.68 | ERROR | |

r-release-linux-x86_64 | 0.7.0 | 10.80 | 187.01 | 197.81 | OK | |

r-release-macos-arm64 | 0.7.0 | 70.00 | OK | |||

r-release-macos-x86_64 | 0.7.0 | 154.00 | OK | |||

r-release-windows-x86_64 | 0.7.0 | 11.00 | 160.00 | 171.00 | OK | |

r-oldrel-macos-arm64 | 0.7.0 | 11.00 | ERROR | |||

r-oldrel-macos-x86_64 | 0.7.0 | 11.00 | ERROR | |||

r-oldrel-windows-x86_64 | 0.7.0 | 15.00 | 205.00 | 220.00 | ERROR |

Version: 0.7.0

Check: tests

Result: ERROR
Running ‘testthat.R’ [69s/99s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3learners")
+ test_check("mlr3learners")
+ }
Loading required package: mlr3
WARN [02:31:03.991] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:04.755] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:06.427] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:07.017] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:07.019] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:07.025] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:07.491] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:07.493] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [02:31:38.060] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.066] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [02:31:38.182] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.184] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [02:31:38.266] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.268] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [02:31:38.520] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.526] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [02:31:38.757] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.759] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [02:31:38.840] [mlr3] train: glm.fit: algorithm did not converge
WARN [02:31:38.842] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
# weights: 18 (10 variable)
initial value 164.791843
iter 10 value 16.177348
iter 20 value 7.111438
iter 30 value 6.182999
iter 40 value 5.984028
iter 50 value 5.961278
iter 60 value 5.954900
iter 70 value 5.951851
iter 80 value 5.950343
iter 90 value 5.949904
iter 100 value 5.949867
final value 5.949867
stopped after 100 iterations
[ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• On CRAN (3): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
'test_regr_xgboost.R:2:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_regr_nnet.R:7:3'): autotest ──────────────────────────────────
`result` is not TRUE
`actual` is a list
`expected` is a logical vector (TRUE)
[score()] learner 'regr.nnet:response' on task 'sanity_reordered' failed: sanity check failed
[ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
Error: Test failures
Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.7.0

Check: package dependencies

Result: ERROR
Packages required and available but unsuitable versions: 'mlr3', 'paradox'
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.7.0

Check: tests

Result: ERROR
Running 'testthat.R' [83s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3learners")
+ test_check("mlr3learners")
+ }
Loading required package: mlr3
WARN [12:00:08.473] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:08.826] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:09.790] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:09.792] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:09.794] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:10.223] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:10.614] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:10.958] [mlr3] train: one multinomial or binomial class has fewer than 8 observations; dangerous ground
WARN [12:00:34.781] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:34.783] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [12:00:34.920] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:34.921] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [12:00:35.027] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:35.029] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [12:00:35.219] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:35.222] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [12:00:35.433] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:35.435] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
WARN [12:00:35.562] [mlr3] train: glm.fit: algorithm did not converge
WARN [12:00:35.564] [mlr3] train: glm.fit: fitted probabilities numerically 0 or 1 occurred
# weights: 18 (10 variable)
initial value 164.791843
iter 10 value 16.177348
iter 20 value 7.111438
iter 30 value 6.182999
iter 40 value 5.984028
iter 50 value 5.961278
iter 60 value 5.954900
iter 70 value 5.951851
iter 80 value 5.950343
iter 90 value 5.949904
iter 100 value 5.949867
final value 5.949867
stopped after 100 iterations
[ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• On CRAN (3): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
'test_regr_xgboost.R:2:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_regr_nnet.R:7:3'): autotest ──────────────────────────────────
`result` is not TRUE
`actual` is a list
`expected` is a logical vector (TRUE)
[score()] learner 'regr.nnet:response' on task 'sanity' failed: sanity check failed
[ FAIL 1 | WARN 0 | SKIP 3 | PASS 549 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64