Last updated on 2023-03-29 21:55:51 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.7.3.1 | 598.39 | 350.86 | 949.25 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.7.3.1 | 592.33 | 267.32 | 859.65 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.7.3.1 | 1309.28 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.7.3.1 | 1359.74 | NOTE | |||
| r-patched-linux-x86_64 | 1.7.3.1 | 632.22 | 330.03 | 962.25 | NOTE | |
| r-release-linux-x86_64 | 1.7.3.1 | 612.96 | 312.58 | 925.54 | NOTE | |
| r-release-macos-arm64 | 1.7.3.1 | 274.00 | NOTE | |||
| r-release-macos-x86_64 | 1.7.3.1 | 415.00 | NOTE | |||
| r-release-windows-x86_64 | 1.7.3.1 | 722.00 | 400.00 | 1122.00 | NOTE | |
| r-oldrel-macos-arm64 | 1.7.3.1 | 258.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 1.7.3.1 | 405.00 | NOTE | |||
| r-oldrel-windows-ix86+x86_64 | 1.7.3.1 | 1453.00 | 541.00 | 1994.00 | ERROR |
Version: 1.7.3.1
Check: C++ specification
Result: NOTE
Specified C++14: please drop specification unless essential
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-patched-linux-x86_64
Version: 1.7.3.1
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-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-ix86+x86_64
Version: 1.7.3.1
Check: installed package size
Result: NOTE
installed size is 5.6Mb
sub-directories of 1Mb or more:
libs 4.7Mb
Flavors: r-devel-linux-x86_64-fedora-clang, 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-ix86+x86_64
Version: 1.7.3.1
Check: whether package can be installed
Result: WARN
Found the following significant warnings:
src/predictor/cpu_predictor.cc:167:27: warning: narrowing conversion of '(long long unsigned int)beg' from 'long long unsigned int' to 'size_t' {aka 'unsigned int'} inside { } [-Wnarrowing]
Flavor: r-oldrel-windows-ix86+x86_64
Version: 1.7.3.1
Check: running examples for arch ‘i386’
Result: ERROR
Running examples in 'xgboost-Ex.R' failed
The error most likely occurred in:
> ### Name: xgb.set.config, xgb.get.config
> ### Title: Set and get global configuration
> ### Aliases: 'xgb.set.config, xgb.get.config' xgb.set.config xgb.get.config
>
> ### ** Examples
>
> # Set verbosity level to silent (0)
> xgb.set.config(verbosity = 0)
[1] TRUE
> # Now global verbosity level is 0
> config <- xgb.get.config()
> print(config$verbosity)
[1] 0
> # Set verbosity level to warning (1)
> xgb.set.config(verbosity = 1)
[1] TRUE
> # Now global verbosity level is 1
> config <- xgb.get.config()
> print(config$verbosity)
[1] 1
>
>
>
> ### * <FOOTER>
> ###
> cleanEx()
> options(digits = 7L)
> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
Time elapsed: 23.74 1.29 23.37 NA NA
> grDevices::dev.off()
null device
1
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')
Flavor: r-oldrel-windows-ix86+x86_64
Version: 1.7.3.1
Check: running tests for arch ‘i386’
Result: ERROR
Running 'testthat.R' [131s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(xgboost)
>
> test_check("xgboost", reporter = ProgressReporter)
v | F W S OK | Context
/ | 0 | basic
/ | 0 | basic functions
- | 1 | basic functions
/ | 4 | basic functions [20:31:31] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
\ | 10 | 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
[20:31:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
\ | 14 | basic functions [20:31:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
| | 19 | basic functions [20:31:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
- | 29 | basic functions [1] train-error:0.027944
- | 37 | basic functions [20:31:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
\ | 42 | basic functions [20:31:32] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
| | 47 | basic functions
| | 51 | basic functions [1] train-logloss:0.439409
[2] train-logloss:0.299260
[3] train-logloss:0.209937
[4] train-logloss:0.150151
/ | 56 | basic functions
- | 57 | 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
/ | 68 | basic functions
- | 69 | basic functions
\ | 70 | basic functions
\ | 74 | 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
| | 79 | basic functions
- | 81 | 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
| | 87 | 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
| | 91 | basic functions
/ | 96 | basic functions
v | 97 | basic functions [9.9s]
/ | 0 | callbacks
/ | 0 | callbacks
- | 1 | callbacks [1] train-auc:0.900000 test-auc:0.800000
\ | 26 | callbacks
\ | 34 | callbacks
| | 39 | callbacks
- | 1 48 | callbacks
- | 1 52 | callbacks
/ | 1 59 | callbacks
\ | 1 65 | callbacks [20:31:42] 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
v | 1 95 | callbacks [2.8s]
--------------------------------------------------------------------------------
Warning ('test_callbacks.R:196:3'): cb.save.model works as expected
one argument not used by format 'xgboost.json'
Backtrace:
1. xgboost::xgb.train(...)
at test_callbacks.R:196:2
2. xgboost (local) f()
4. base::sprintf(save_name, env$iteration)
--------------------------------------------------------------------------------
/ | 0 | config
/ | 0 | Test global configuration
v | 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
v | 12 | Test models with custom objective [0.8s]
/ | 0 | dmatrix
/ | 0 | testing xgb.DMatrix functionality
\ | 10 | testing xgb.DMatrix functionality [20:31:45] 6513x126 matrix with 143286 entries loaded from D:\temp\Rtmp44FRZ8\xgb.DMatrix_d29cf654bda
- | 1 24 | testing xgb.DMatrix functionality
| | 1 26 | testing xgb.DMatrix functionality
- | 1 32 | testing xgb.DMatrix functionality
| | 1 34 | testing xgb.DMatrix functionality
v | 1 40 | testing xgb.DMatrix functionality [1.1s]
--------------------------------------------------------------------------------
Warning ('test_dmatrix.R:82:3'): 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:82:2
7. xgboost:::setinfo.xgb.DMatrix(dtest, "weight", rep("a", nrow(test_data)))
--------------------------------------------------------------------------------
/ | 0 | feature_weights
/ | 0 | feature weights
- | 1 | feature weights
| | 3 | feature weights
- | 5 | feature weights
v | 6 | feature weights [0.5s]
/ | 0 | gc_safety
/ | 0 | Garbage Collection Safety Check [1] train-logloss:0.233376
[2] train-logloss:0.136658
- | 1 | Garbage Collection Safety Check
v | 1 | Garbage Collection Safety Check [85.5s]
/ | 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
- | 9 | 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
v | 13 | Test generalized linear models [1.2s]
/ | 0 | helpers
/ | 0 | Test helper functions
- | 1 | Test helper functions [1] train-logloss:0.636592
/ | 20 | Test helper functions
\ | 38 | 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
\ | 46 | Test helper functions
\ | 98 | Test helper functions
\ | 154 | Test helper functions
\ | 206 | 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
/ | 248 | Test helper functions
/ | 300 | Test helper functions
| | 355 | Test helper functions
/ | 412 | Test helper functions
/ | 452 | Test helper functions
/ | 480 | Test helper functions
- | 509 | Test helper functions
/ | 528 | Test helper functions
| | 559 | Test helper functions
\ | 570 | Test helper functions
/ | 600 | Test helper functions
- | 633 | Test helper functions
\ | 662 | Test helper functions
- | 669 | Test helper functions
- | 673 | Test helper functions
- | 681 | Test helper functions
\ | 682 | Test helper functions [1] train-rmse:0.943398
\ | 686 | Test helper functions
/ | 696 | Test helper functions
- | 697 | Test helper functions
\ | 1 697 | Test helper functions
| | 1 698 | Test helper functions
/ | 1 699 | Test helper functions
| | 1 706 | Test helper functions
| | 1 714 | Test helper functions
| | 1 734 | Test helper functions
v | 1 745 | Test helper functions [8.1s]
--------------------------------------------------------------------------------
Skip ('test_helpers.R:386:1'): xgb.plot.multi.trees works with and without feature names
Reason: empty test
--------------------------------------------------------------------------------
/ | 0 | interaction_constraints
/ | 0 | interaction constraints
- | 1 | interaction constraints
\ | 2 | interaction constraints
v | 2 | interaction constraints [9.8s]
/ | 0 | interactions
/ | 0 | Test prediction of feature interactions
- | 1 | Test prediction of feature interactions
/ | 4 | Test prediction of feature interactions
- | 13 | Test prediction of feature interactions
| | 15 | 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
| | 19 | Test prediction of feature interactions
v | 19 | Test prediction of feature interactions [2.2s]
/ | 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.
v | 2 | Test model IO. [0.2s]
/ | 0 | model_compatibility
/ | 0 | Models from previous versions of XGBoost can be loaded
- | 1 | Models from previous versions of XGBoost can be loaded
/ | 8 | Models from previous versions of XGBoost can be loaded
- | 33 | Models from previous versions of XGBoost can be loaded
/ | 56 | Models from previous versions of XGBoost can be loaded
| | 79 | Models from previous versions of XGBoost can be loaded
- | 105 | Models from previous versions of XGBoost can be loaded
| | 131 | Models from previous versions of XGBoost can be loaded
- | 157 | Models from previous versions of XGBoost can be loaded
\ | 182 | Models from previous versions of XGBoost can be loaded
- | 209 | Models from previous versions of XGBoost can be loaded
v | 233 | Models from previous versions of XGBoost can be loaded [2.9s]
/ | 0 | monotone
/ | 0 | monotone constraints
- | 1 | monotone constraints
v | 1 | monotone constraints [0.2s]
/ | 0 | parameter_exposure
/ | 0 | Test model params and call are exposed to R
- | 1 | Test model params and call are exposed to R
v | 6 | Test model params and call are exposed to R [0.2s]
/ | 0 | poisson_regression
/ | 0 | Test Poisson regression model
v | 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
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
\ | 6 | Learning to rank [20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
[20:33:37] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
\ | 14 | Learning to rank
v | 14 | Learning to rank [0.2s]
/ | 0 | update
/ | 0 | update trees in an existing model [20:33:37] 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 [20:33:38] 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.
\ | 2 | update trees in an existing model [20:33:38] 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 [20:33:38] 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 [20:33:38] 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 [20:33:38] 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.
- | 17 | update trees in an existing model
v | 19 | update trees in an existing model [1.1s]
== Results =====================================================================
Duration: 127.3 s
-- Skipped tests --------------------------------------------------------------
* empty test (1)
[ FAIL 0 | WARN 2 | SKIP 1 | PASS 1316 ]
>
> proc.time()
user system elapsed
133.91 4.29 131.15
Flavor: r-oldrel-windows-ix86+x86_64