Last updated on 2024-05-16 06:57:55 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.7.7.1 | 631.69 | 327.93 | 959.62 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.7.7.1 | 629.82 | 270.85 | 900.67 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.7.7.1 | 1372.33 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.7.7.1 | 1700.34 | NOTE | |||
| r-devel-windows-x86_64 | 1.7.7.1 | 562.00 | 303.00 | 865.00 | NOTE | |
| r-patched-linux-x86_64 | 1.7.7.1 | 780.20 | 331.74 | 1111.94 | NOTE | |
| r-release-linux-x86_64 | 1.7.7.1 | 800.74 | 335.18 | 1135.92 | NOTE | |
| r-release-macos-arm64 | 1.7.7.1 | 335.00 | NOTE | |||
| r-release-macos-x86_64 | 1.7.7.1 | 608.00 | NOTE | |||
| r-release-windows-x86_64 | 1.7.7.1 | 549.00 | 356.00 | 905.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.7.7.1 | 335.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 1.7.7.1 | 561.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 1.7.7.1 | 547.00 | 421.00 | 968.00 | NOTE |
Version: 1.7.7.1
Check: for GNU extensions in Makefiles
Result: NOTE
GNU make is a SystemRequirements.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.7.7.1
Check: installed package size
Result: NOTE
installed size is 5.7Mb
sub-directories of 1Mb or more:
libs 4.8Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.7.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [155s]
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
⠹ | 3 | basic functions
⠴ | 6 | basic functions [12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[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
[12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠸ | 14 | basic functions [12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠹ | 23 | basic functions [12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[1] train-error:0.028405
⠦ | 37 | basic functions [12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠙ | 42 | basic functions [12:00:44] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠋ | 51 | 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 [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
[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
✔ | 100 | basic functions [8.2s]
⠏ | 0 | callbacks
⠏ | 0 | callbacks [1] train-auc:0.900000 test-auc:0.800000
⠙ | 12 | callbacks
⠴ | 26 | callbacks
⠴ | 36 | callbacks
⠏ | 40 | callbacks
⠏ | 1 49 | callbacks
⠧ | 1 57 | callbacks
⠸ | 1 63 | callbacks [12:00:53] 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 94 | callbacks
✔ | 1 95 | callbacks [2.1s]
────────────────────────────────────────────────────────────────────────────────
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
⠼ | 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
⠇ | 9 | Test models with custom objective [1] eval-error:0.042831 train-error:0.046522
[2] eval-error:0.021726 train-error:0.022263
✔ | 12 | Test models with custom objective [1.2s]
⠏ | 0 | dmatrix
⠏ | 0 | testing xgb.DMatrix functionality
⠸ | 14 | testing xgb.DMatrix functionality [12:00:55] 6513x126 matrix with 143286 entries loaded from D:\temp\Rtmp8QwVSe\xgb.DMatrix_12f4825663538
⠦ | 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 | feature_weights
⠏ | 0 | feature weights
⠹ | 3 | feature weights
✔ | 6 | feature weights
⠏ | 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 [64.9s]
⠏ | 0 | glm
⠏ | 0 | Test generalized linear models
⠸ | 4 | 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
⠏ | 0 | helpers
⠏ | 0 | Test helper functions
⠋ | 1 | Test helper functions [1] train-logloss:0.636592
⠧ | 28 | 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
⠦ | 107 | Test helper functions
⠋ | 191 | Test helper functions
⠦ | 247 | 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
⠇ | 309 | Test helper functions
⠼ | 375 | Test helper functions
⠇ | 449 | Test helper functions
⠸ | 484 | Test helper functions
⠹ | 533 | Test helper functions
⠸ | 584 | Test helper functions
⠙ | 642 | Test helper functions
⠏ | 670 | Test helper functions
⠴ | 676 | Test helper functions
⠼ | 685 | Test helper functions
⠴ | 686 | Test helper functions [1] train-rmse:0.943398
⠼ | 695 | Test helper functions
⠏ | 700 | Test helper functions
⠋ | 701 | Test helper functions
⠙ | 1 701 | Test helper functions
⠹ | 1 702 | Test helper functions
⠸ | 1 703 | Test helper functions
⠇ | 1 718 | Test helper functions
✔ | 1 749 | Test helper functions [5.0s]
⠏ | 0 | interaction_constraints
⠏ | 0 | interaction constraints
⠋ | 1 | interaction constraints
⠙ | 2 | interaction constraints
✔ | 2 | interaction constraints [6.2s]
⠏ | 0 | interactions
⠏ | 0 | Test prediction of feature interactions
⠋ | 1 | Test prediction of feature interactions
⠹ | 3 | Test prediction of feature interactions
⠸ | 4 | Test prediction of feature interactions
⠹ | 13 | 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
⠧ | 18 | Test prediction of feature interactions
✔ | 19 | Test prediction of feature interactions [1.5s]
⠏ | 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 [60.1s]
────────────────────────────────────────────────────────────────────────────────
Warning ('test_model_compatibility.R:67:3'): Models from previous versions of XGBoost can be loaded
URL 'https://xgboost-ci-jenkins-artifacts.s3-us-west-2.amazonaws.com/xgboost_r_model_compatibility_test.zip': Timeout of 60 seconds was reached
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 | monotone
⠏ | 0 | monotone constraints
✔ | 1 | monotone constraints
⠏ | 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 | poisson_regression
⠏ | 0 | Test Poisson regression model
✔ | 3 | Test Poisson regression model
⠏ | 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
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
⠋ | 11 | Learning to rank [12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[12:03:15] 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
✔ | 3 | Test Unicode handling
⠏ | 0 | update
⠏ | 0 | update trees in an existing model [12:03:15] 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.
[12:03:15] 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.
[12:03:15] 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 [12:03:16] 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.
⠴ | 6 | update trees in an existing model [12:03:16] 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.
[12:03:16] 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 [12:03:16] 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.
[12:03:16] 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: 152.5 s
── Skipped tests (1) ───────────────────────────────────────────────────────────
• empty test (1): 'test_helpers.R:388:1'
── 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 1100 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64