Last updated on 2025-07-19 18:50:38 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.7.11.1 | 495.82 | 306.23 | 802.05 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.7.11.1 | 411.20 | 190.53 | 601.73 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.7.11.1 | 1452.86 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.7.11.1 | 1579.64 | OK | |||
| r-devel-windows-x86_64 | 1.7.11.1 | 603.00 | 295.00 | 898.00 | OK | |
| r-patched-linux-x86_64 | 1.7.11.1 | 570.71 | 276.01 | 846.72 | OK | |
| r-release-linux-x86_64 | 1.7.11.1 | 574.13 | 280.85 | 854.98 | ERROR | |
| r-release-macos-arm64 | 1.7.11.1 | 342.00 | OK | |||
| r-release-macos-x86_64 | 1.7.11.1 | 563.00 | OK | |||
| r-release-windows-x86_64 | 1.7.11.1 | 576.00 | 288.00 | 864.00 | OK | |
| r-oldrel-macos-arm64 | 1.7.11.1 | 334.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 1.7.11.1 | 539.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 1.7.11.1 | 714.00 | 439.00 | 1153.00 | NOTE |
Version: 1.7.11.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [161s/193s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(xgboost)
>
> test_check("xgboost", reporter = ProgressReporter)
✔ | F W S OK | Context
⠏ | 0 | basic
⠏ | 0 | basic functions
⠋ | 1 | basic functions [20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠙ | 12 | basic functions [1] train-rmse:1.678965
[2] train-rmse:1.678965
[3] train-rmse:1.524624
[4] train-rmse:1.441523
[5] train-rmse:1.437758
[6] train-rmse:1.377895
[7] train-rmse:1.305894
[8] train-rmse:1.336120
[9] train-rmse:1.316072
[10] train-rmse:1.316031
[11] train-rmse:1.319404
[12] train-rmse:1.235097
[13] train-rmse:1.225430
[14] train-rmse:1.221079
[15] train-rmse:1.235220
[16] train-rmse:1.219153
[17] train-rmse:1.226439
[18] train-rmse:1.235026
[19] train-rmse:1.244651
[20] train-rmse:1.253197
[21] train-rmse:1.262494
[22] train-rmse:1.272865
[23] train-rmse:1.276073
[24] train-rmse:1.277040
[25] train-rmse:1.287974
[26] train-rmse:1.289816
[27] train-rmse:1.292365
[28] train-rmse:1.282785
[29] train-rmse:1.283805
[30] train-rmse:1.290661
[31] train-rmse:1.289439
[32] train-rmse:1.281995
[20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠦ | 17 | basic functions [20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠙ | 32 | basic functions [1] train-error:0.028405
[20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠏ | 40 | basic functions [20:08:43] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠦ | 47 | basic functions
⠴ | 56 | basic functions [1] train-logloss:0.439409
[2] train-logloss:0.299260
[3] train-logloss:0.209937
[4] train-logloss:0.150151
⠇ | 59 | basic functions
⠏ | 60 | basic functions
⠧ | 68 | basic functions [1] train-logloss:0.233470+0.001565 test-logloss:0.233607+0.004930
[2] train-logloss:0.136851+0.001767 test-logloss:0.137010+0.006645
[1] train-logloss:0.233482+0.001761 test-logloss:0.233527+0.005591
[2] train-logloss:0.136860+0.002158 test-logloss:0.136933+0.007299
⠋ | 71 | basic functions
⠙ | 72 | basic functions
⠹ | 73 | basic functions
⠦ | 77 | basic functions [1] train-logloss:0.380598
[2] train-logloss:0.247331
[3] train-logloss:0.175047
[4] train-logloss:0.122301
[5] train-logloss:0.089889
[1] train-logloss:0.497338
[2] train-logloss:0.357306
[3] train-logloss:0.257215
[4] train-logloss:0.184518
[5] train-logloss:0.132113
⠙ | 82 | basic functions [1] train-error:0.046522 train-auc:0.958228 train-logloss:0.233376
[2] train-error:0.022263 train-auc:0.981413 train-logloss:0.136658
⠼ | 85 | basic functions [1] train-merror:0.040000
[2] train-merror:0.026667
[1] train-error:0.046522 train-auc:0.958228 train-logloss:0.482541
[2] train-error:0.046522 train-auc:0.987161 train-logloss:0.359536
⠸ | 94 | basic functions
⠇ | 99 | basic functions
✔ | 100 | basic functions [10.0s]
⠏ | 0 | callbacks
⠏ | 0 | callbacks
⠋ | 1 | callbacks [1] train-auc:0.900000 test-auc:0.800000
⠼ | 25 | callbacks
⠦ | 27 | callbacks
⠙ | 32 | callbacks
⠴ | 36 | callbacks
⠧ | 38 | callbacks
⠇ | 39 | callbacks
⠏ | 40 | callbacks
⠇ | 1 48 | callbacks
⠙ | 1 51 | callbacks
⠧ | 1 57 | callbacks
⠹ | 1 62 | callbacks [20:08:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[1] train-auc:0.829749
Will train until train_auc hasn't improved in 3 rounds.
[2] train-auc:0.829749
[3] train-auc:0.829749
[4] train-auc:0.829749
Stopping. Best iteration:
[1] train-auc:0.829749
⠏ | 1 69 | callbacks
⠼ | 1 74 | callbacks
⠇ | 1 78 | callbacks
⠙ | 1 81 | callbacks
⠼ | 1 84 | callbacks
⠹ | 1 92 | callbacks
✔ | 1 95 | callbacks [4.5s]
────────────────────────────────────────────────────────────────────────────────
Warning ('test_callbacks.R:200:3'): cb.save.model works as expected
one argument not used by format 'xgboost.json'
Backtrace:
▆
1. └─xgboost::xgb.train(...) at test_callbacks.R:200:3
2. └─xgboost (local) f()
3. ├─xgboost::xgb.save(env$bst, sprintf(save_name, env$iteration))
4. └─base::sprintf(save_name, env$iteration)
────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | config
⠏ | 0 | Test global configuration
✔ | 8 | Test global configuration
⠏ | 0 | custom_objective
⠏ | 0 | Test models with custom objective [1] eval-error:0.042831 train-error:0.046522
[2] eval-error:0.021726 train-error:0.022263
⠋ | 1 | Test models with custom objective
⠼ | 5 | Test models with custom objective [1] eval-error:0.042831 train-error:0.046522
[2] eval-error:0.021726 train-error:0.022263
[3] eval-error:0.018001 train-error:0.015200
[4] eval-error:0.018001 train-error:0.015200
[5] eval-error:0.006207 train-error:0.007063
[6] eval-error:0.000000 train-error:0.001228
[7] eval-error:0.000000 train-error:0.001228
[8] eval-error:0.000000 train-error:0.001228
[9] eval-error:0.000000 train-error:0.001228
[10] eval-error:0.000000 train-error:0.000000
⠧ | 8 | Test models with custom objective [1] eval-error:0.042831 train-error:0.046522
[2] eval-error:0.021726 train-error:0.022263
⠋ | 11 | Test models with custom objective
✔ | 12 | Test models with custom objective [1.3s]
⠏ | 0 | dmatrix
⠏ | 0 | testing xgb.DMatrix functionality
⠙ | 12 | testing xgb.DMatrix functionality [20:08:59] 6513x126 matrix with 143286 entries loaded from /home/hornik/tmp/scratch/RtmpOf6wtO/xgb.DMatrix_3b6bde5135b0c1
⠋ | 21 | testing xgb.DMatrix functionality
⠋ | 1 30 | testing xgb.DMatrix functionality
⠦ | 1 36 | testing xgb.DMatrix functionality
⠇ | 1 38 | testing xgb.DMatrix functionality
✔ | 1 44 | testing xgb.DMatrix functionality
────────────────────────────────────────────────────────────────────────────────
Warning ('test_dmatrix.R:125:3'): xgb.DMatrix: getinfo & setinfo
NAs introduced by coercion
Backtrace:
▆
1. ├─testthat::expect_error(setinfo(dtest, "weight", rep("a", nrow(test_data)))) at test_dmatrix.R:125:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. ├─xgboost::setinfo(dtest, "weight", rep("a", nrow(test_data)))
7. └─xgboost:::setinfo.xgb.DMatrix(dtest, "weight", rep("a", nrow(test_data)))
────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | gc_safety
⠏ | 0 | Garbage Collection Safety Check [1] train-logloss:0.233376
[2] train-logloss:0.136658
⠋ | 1 | Garbage Collection Safety Check
✔ | 1 | Garbage Collection Safety Check [146.8s]
⠏ | 0 | glm
⠏ | 0 | Test generalized linear models
⠋ | 1 | Test generalized linear models
⠴ | 6 | Test generalized linear models
⠦ | 7 | Test generalized linear models
⠧ | 8 | Test generalized linear models [1] eval-error:0.002483 train-error:0.004760
Multiple eval metrics are present. Will use train_error for early stopping.
Will train until train_error hasn't improved in 1 rounds.
[2] eval-error:0.000621 train-error:0.002610
[3] eval-error:0.000000 train-error:0.001842
[4] eval-error:0.000000 train-error:0.001228
[5] eval-error:0.000000 train-error:0.000614
[6] eval-error:0.000000 train-error:0.000614
Stopping. Best iteration:
[5] eval-error:0.000000 train-error:0.000614
⠙ | 12 | Test generalized linear models [1] eval-error:0.002483 train-error:0.004760
Multiple eval metrics are present. Will use train_error for early stopping.
Will train until train_error hasn't improved in 1 rounds.
[2] eval-error:0.000621 train-error:0.002610
[3] eval-error:0.000000 train-error:0.001842
[4] eval-error:0.000000 train-error:0.001228
[5] eval-error:0.000000 train-error:0.000614
[6] eval-error:0.000000 train-error:0.000614
Stopping. Best iteration:
[5] eval-error:0.000000 train-error:0.000614
⠹ | 13 | Test generalized linear models
✔ | 13 | Test generalized linear models [2.0s]
⠏ | 0 | helpers
⠏ | 0 | Test helper functions
⠋ | 1 | Test helper functions [1] train-logloss:0.636592
⠙ | 12 | Test helper functions
⠹ | 23 | Test helper functions
⠏ | 30 | Test helper functions [1] train-rmse:1.940066
[2] train-rmse:1.560864
[3] train-rmse:1.277414
[4] train-rmse:1.068562
[5] train-rmse:0.903897
[6] train-rmse:0.763228
[7] train-rmse:0.664924
[8] train-rmse:0.570358
[9] train-rmse:0.507416
[10] train-rmse:0.458599
[11] train-rmse:0.394349
[12] train-rmse:0.355794
[13] train-rmse:0.305484
[14] train-rmse:0.271176
[15] train-rmse:0.259943
[16] train-rmse:0.238429
[17] train-rmse:0.228003
[18] train-rmse:0.212117
[19] train-rmse:0.187830
[20] train-rmse:0.173381
[21] train-rmse:0.164001
[22] train-rmse:0.156113
[23] train-rmse:0.143242
[24] train-rmse:0.130215
[25] train-rmse:0.120160
[26] train-rmse:0.112119
[27] train-rmse:0.104753
[28] train-rmse:0.096786
[29] train-rmse:0.089361
[30] train-rmse:0.083706
⠧ | 48 | Test helper functions
⠸ | 94 | Test helper functions
⠙ | 142 | Test helper functions
⠧ | 188 | Test helper functions
⠴ | 236 | Test helper functions [1] train-rmse:1.940066
[2] train-rmse:1.675038
[3] train-rmse:1.462383
[4] train-rmse:1.283198
[5] train-rmse:1.155542
[6] train-rmse:1.049559
[7] train-rmse:0.942910
[8] train-rmse:0.859371
[9] train-rmse:0.774970
[10] train-rmse:0.725452
[11] train-rmse:0.679127
[12] train-rmse:0.628614
[13] train-rmse:0.594549
[14] train-rmse:0.535545
[15] train-rmse:0.485623
[16] train-rmse:0.460187
[17] train-rmse:0.413632
[18] train-rmse:0.403692
[19] train-rmse:0.385314
[20] train-rmse:0.366653
[21] train-rmse:0.354532
[22] train-rmse:0.326526
[23] train-rmse:0.316875
[24] train-rmse:0.301910
[25] train-rmse:0.285458
[26] train-rmse:0.275437
[27] train-rmse:0.267556
[28] train-rmse:0.263727
[29] train-rmse:0.253460
[30] train-rmse:0.235433
⠏ | 250 | Test helper functions
⠸ | 294 | Test helper functions
⠼ | 345 | Test helper functions
⠼ | 395 | Test helper functions
⠸ | 434 | Test helper functions
⠋ | 461 | Test helper functions
⠧ | 478 | Test helper functions
⠸ | 494 | Test helper functions
⠇ | 509 | Test helper functions
⠴ | 526 | Test helper functions
⠼ | 545 | Test helper functions
⠋ | 561 | Test helper functions
⠏ | 580 | Test helper functions
⠴ | 596 | Test helper functions
⠹ | 613 | Test helper functions
⠧ | 628 | Test helper functions
⠴ | 646 | Test helper functions
⠹ | 663 | Test helper functions
⠏ | 670 | Test helper functions
⠴ | 676 | Test helper functions
⠙ | 682 | Test helper functions
⠹ | 683 | Test helper functions
⠏ | 690 | Test helper functions
⠋ | 691 | Test helper functions
⠙ | 1 691 | Test helper functions
⠹ | 1 692 | Test helper functions
⠸ | 1 693 | Test helper functions
⠙ | 1 701 | Test helper functions
⠧ | 1 707 | Test helper functions
⠏ | 1 709 | Test helper functions
✔ | 1 739 | Test helper functions [8.9s]
⠏ | 0 | interaction_constraints
⠏ | 0 | interaction constraints
⠋ | 1 | interaction constraints
✔ | 1 | interaction constraints [10.6s]
⠏ | 0 | interactions
⠏ | 0 | Test prediction of feature interactions
⠙ | 2 | Test prediction of feature interactions [1] train-logloss:0.482541
[2] train-logloss:0.359536
[3] train-logloss:0.279935
[4] train-logloss:0.218599
⠦ | 7 | Test prediction of feature interactions
⠧ | 8 | Test prediction of feature interactions
✔ | 8 | Test prediction of feature interactions
⠏ | 0 | io
⠏ | 0 | Test model IO. [1] train-logloss:0.439409
[2] train-logloss:0.299260
[3] train-logloss:0.209937
[4] train-logloss:0.150151
[5] train-logloss:0.108673
[6] train-logloss:0.079348
[7] train-logloss:0.058385
[8] train-logloss:0.043147
⠋ | 1 | Test model IO.
✔ | 2 | Test model IO.
⠏ | 0 | model_compatibility
⠏ | 0 | Models from previous versions of XGBoost can be loaded
⠋ | 1 0 | Models from previous versions of XGBoost can be loaded
✖ | 1 1 0 | Models from previous versions of XGBoost can be loaded
────────────────────────────────────────────────────────────────────────────────
Warning ('test_model_compatibility.R:67:3'): Models from previous versions of XGBoost can be loaded
cannot open URL 'https://xgboost-ci-jenkins-artifacts.s3-us-west-2.amazonaws.com/xgboost_r_model_compatibility_test.zip': HTTP status was '403 Forbidden'
Backtrace:
▆
1. └─utils::download.file(...) at test_model_compatibility.R:67:3
Error ('test_model_compatibility.R:67:3'): Models from previous versions of XGBoost can be loaded
Error in `download.file(paste("https://", bucket, ".s3-", region, ".amazonaws.com/",
file_name, sep = ""), destfile = zipfile, mode = "wb", quiet = TRUE)`: cannot open URL 'https://xgboost-ci-jenkins-artifacts.s3-us-west-2.amazonaws.com/xgboost_r_model_compatibility_test.zip'
Backtrace:
▆
1. └─utils::download.file(...) at test_model_compatibility.R:67:3
────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | parameter_exposure
⠏ | 0 | Test model params and call are exposed to R
⠋ | 1 | Test model params and call are exposed to R
✔ | 6 | Test model params and call are exposed to R
⠏ | 0 | ranking
⠏ | 0 | Learning to rank [1] train-auc:0.575000 train-aucpr:0.550000
[2] train-auc:0.650000 train-aucpr:0.700000
[3] train-auc:0.725000 train-aucpr:0.850000
[4] train-auc:0.800000 train-aucpr:1.000000
[5] train-auc:0.800000 train-aucpr:1.000000
[6] train-auc:0.800000 train-aucpr:1.000000
[7] train-auc:0.800000 train-aucpr:1.000000
[8] train-auc:0.800000 train-aucpr:1.000000
[9] train-auc:0.800000 train-aucpr:1.000000
[10] train-auc:0.800000 train-aucpr:1.000000
⠋ | 1 | Learning to rank [1] train-auc:0.575000 train-aucpr:0.550000
[2] train-auc:0.650000 train-aucpr:0.700000
[3] train-auc:0.725000 train-aucpr:0.850000
[4] train-auc:0.725000 train-aucpr:0.850000
[5] train-auc:0.725000 train-aucpr:0.850000
[6] train-auc:0.725000 train-aucpr:0.850000
[7] train-auc:0.725000 train-aucpr:0.850000
[8] train-auc:0.800000 train-aucpr:1.000000
[9] train-auc:0.800000 train-aucpr:1.000000
[10] train-auc:0.800000 train-aucpr:1.000000
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠦ | 7 | Learning to rank [20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:11:50] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠸ | 14 | Learning to rank
✔ | 14 | Learning to rank
⠏ | 0 | unicode
⠏ | 0 | Test Unicode handling [1] train-error:0.046522
[2] train-error:0.022263
⠙ | 2 | Test Unicode handling
✔ | 3 | Test Unicode handling
⠏ | 0 | update
⠏ | 0 | update trees in an existing model [20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
[20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
[20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
⠋ | 1 | update trees in an existing model [20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
[20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
⠦ | 7 | update trees in an existing model [20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
⠇ | 9 | update trees in an existing model [20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
[20:11:51] WARNING: src/gbm/gbtree.cc:84: DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead.
⠇ | 19 | update trees in an existing model
✔ | 22 | update trees in an existing model
══ Results ═════════════════════════════════════════════════════════════════════
Duration: 189.3 s
── Skipped tests (1) ───────────────────────────────────────────────────────────
• empty test (1): 'test_helpers.R:322:1'
── Failed tests ────────────────────────────────────────────────────────────────
Error ('test_model_compatibility.R:67:3'): Models from previous versions of XGBoost can be loaded
Error in `download.file(paste("https://", bucket, ".s3-", region, ".amazonaws.com/",
file_name, sep = ""), destfile = zipfile, mode = "wb", quiet = TRUE)`: cannot open URL 'https://xgboost-ci-jenkins-artifacts.s3-us-west-2.amazonaws.com/xgboost_r_model_compatibility_test.zip'
Backtrace:
▆
1. └─utils::download.file(...) at test_model_compatibility.R:67:3
[ FAIL 1 | WARN 3 | SKIP 1 | PASS 1068 ]
Error: Test failures
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.7.11.1
Check: installed package size
Result: NOTE
installed size is 54.1Mb
sub-directories of 1Mb or more:
libs 53.2Mb
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.7.11.1
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64