Last updated on 2025-07-17 17:50:32 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.7.11.1 | 497.35 | 305.25 | 802.60 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.7.11.1 | 424.92 | 188.32 | 613.24 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.7.11.1 | 1168.77 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.7.11.1 | 1579.64 | OK | |||
| r-devel-windows-x86_64 | 1.7.11.1 | 582.00 | 290.00 | 872.00 | 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 | 605.00 | 296.00 | 901.00 | 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 | 713.00 | 413.00 | 1126.00 | NOTE |
Version: 1.7.11.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [163s/194s]
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
⠴ | 6 | basic functions [08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠹ | 13 | basic functions [1] train-rmse:1.678965
[2] train-rmse:1.678965
[3] train-rmse:1.524624
[4] train-rmse:1.501872
[5] train-rmse:1.360458
[6] train-rmse:1.319112
[7] train-rmse:1.309933
[8] train-rmse:1.331824
[9] train-rmse:1.334463
[10] train-rmse:1.332656
[11] train-rmse:1.319598
[12] train-rmse:1.285986
[13] train-rmse:1.277686
[14] train-rmse:1.262171
[15] train-rmse:1.278412
[16] train-rmse:1.263180
[17] train-rmse:1.268462
[18] train-rmse:1.277994
[19] train-rmse:1.289573
[20] train-rmse:1.296412
[21] train-rmse:1.293499
[22] train-rmse:1.303902
[23] train-rmse:1.307644
[24] train-rmse:1.314784
[25] train-rmse:1.320882
[26] train-rmse:1.318741
[27] train-rmse:1.325712
[28] train-rmse:1.314415
[29] train-rmse:1.316439
[30] train-rmse:1.318352
[31] train-rmse:1.319347
[32] train-rmse:1.303418
[08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠴ | 16 | basic functions [08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠋ | 31 | basic functions [1] train-error:0.037310
⠦ | 37 | basic functions [08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠹ | 43 | basic functions [08:43:55] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠋ | 51 | basic functions
⠦ | 57 | 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 [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
⠏ | 80 | 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
⠸ | 84 | 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
[1] train-merror:0.040000
[2] train-merror:0.026667
⠴ | 86 | basic functions [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 [14.9s]
⠏ | 0 | callbacks
⠏ | 0 | callbacks
⠼ | 5 | callbacks [1] train-auc:0.900000 test-auc:0.800000
⠴ | 26 | callbacks
⠸ | 34 | callbacks
⠇ | 39 | callbacks
⠇ | 1 48 | callbacks
⠙ | 1 51 | callbacks
⠧ | 1 57 | callbacks
⠹ | 1 62 | callbacks [08:44:10] 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 84 | callbacks
✔ | 1 95 | callbacks [2.8s]
────────────────────────────────────────────────────────────────────────────────
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
⠏ | 10 | Test models with custom objective
✔ | 12 | Test models with custom objective [1.7s]
⠏ | 0 | dmatrix
⠏ | 0 | testing xgb.DMatrix functionality
⠙ | 12 | testing xgb.DMatrix functionality
⠸ | 14 | testing xgb.DMatrix functionality [08:44:14] 6513x126 matrix with 143286 entries loaded from /tmp/RtmpZWCIn2/working_dir/Rtmp6QBADO/xgb.DMatrix_2f016f30773c
⠼ | 25 | 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 [1.1s]
────────────────────────────────────────────────────────────────────────────────
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 [144.8s]
⠏ | 0 | glm
⠏ | 0 | Test generalized linear models
⠙ | 2 | Test generalized linear models
⠴ | 6 | 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
⠏ | 0 | helpers
⠏ | 0 | Test helper functions
⠋ | 1 | Test helper functions [1] train-logloss:0.636592
⠼ | 15 | 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
⠦ | 87 | Test helper functions
⠋ | 131 | Test helper functions
⠸ | 174 | Test helper functions
⠼ | 215 | 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:1.030741
[7] train-rmse:0.934380
[8] train-rmse:0.859785
[9] train-rmse:0.793941
[10] train-rmse:0.737530
[11] train-rmse:0.697211
[12] train-rmse:0.651627
[13] train-rmse:0.613441
[14] train-rmse:0.570483
[15] train-rmse:0.532537
[16] train-rmse:0.491001
[17] train-rmse:0.450223
[18] train-rmse:0.430063
[19] train-rmse:0.406254
[20] train-rmse:0.394320
[21] train-rmse:0.369744
[22] train-rmse:0.349086
[23] train-rmse:0.328354
[24] train-rmse:0.306675
[25] train-rmse:0.285160
[26] train-rmse:0.268008
[27] train-rmse:0.247914
[28] train-rmse:0.236079
[29] train-rmse:0.224081
[30] train-rmse:0.220884
⠏ | 250 | Test helper functions
⠧ | 278 | Test helper functions
⠧ | 318 | Test helper functions
⠙ | 362 | Test helper functions
⠹ | 393 | Test helper functions
⠸ | 434 | Test helper functions
⠙ | 462 | Test helper functions
⠦ | 487 | Test helper functions
⠹ | 513 | Test helper functions
⠙ | 542 | Test helper functions
⠋ | 581 | Test helper functions
⠙ | 612 | Test helper functions
⠋ | 641 | Test helper functions
⠏ | 660 | Test helper functions
⠏ | 670 | Test helper functions
⠸ | 674 | 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
⠼ | 1 704 | Test helper functions
⠇ | 1 708 | Test helper functions
⠋ | 1 730 | Test helper functions
✔ | 1 739 | Test helper functions [8.4s]
⠏ | 0 | interaction_constraints
⠏ | 0 | interaction constraints
⠋ | 1 | interaction constraints
✔ | 1 | interaction constraints [10.7s]
⠏ | 0 | interactions
⠏ | 0 | Test prediction of feature interactions
⠋ | 1 | Test prediction of feature interactions
⠙ | 2 | Test prediction of feature interactions
⠸ | 4 | 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
✔ | 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] 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
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠼ | 5 | Learning to rank [08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠹ | 13 | Learning to rank [08:47:01] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
✔ | 14 | Learning to rank
⠏ | 0 | unicode
⠏ | 0 | Test Unicode handling [1] train-error:0.046522
[2] train-error:0.022263
⠋ | 1 | Test Unicode handling
✔ | 3 | Test Unicode handling
⠏ | 0 | update
⠏ | 0 | update trees in an existing model [08:47:02] 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.
[08:47:02] 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.
[08:47:02] 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 [08:47:02] 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.
⠹ | 3 | update trees in an existing model [08:47:02] 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.
⠧ | 8 | update trees in an existing model [08:47:02] 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.
⠹ | 13 | update trees in an existing model [08:47:02] 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.
⠴ | 16 | update trees in an existing model [08:47:03] 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 [1.1s]
══ Results ═════════════════════════════════════════════════════════════════════
Duration: 188.9 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-devel-linux-x86_64-fedora-clang
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.