Running 'testthat.R' [127s]
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                                                 [11:23:22] 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 
  [11:23:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  \ |        14 | basic functions                                                 [11:23:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  / |        20 | basic functions                                                 [11:23:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  | |        31 | basic functions                                                 [1]	train-error:0.027944 
  
  - |        37 | basic functions                                                 [11:23:23] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  \ |        42 | basic functions                                                 [11:23:23] 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 
  
  / |        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                                                 
  \ |        78 | 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 
  
  - |        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 
  [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 [9.2s]
  
  / |         0 | callbacks                                                       
  / |         0 | callbacks                                                       [1]	train-auc:0.900000	test-auc:0.800000 
  
  \ |         6 | callbacks                                                       
  \ |        26 | callbacks                                                       
  \ |        34 | callbacks                                                       
  | |        39 | callbacks                                                       
  | |        47 | callbacks                                                       
  / |   1    51 | callbacks                                                       
  \ |   1    57 | callbacks                                                       
  | |   1    62 | callbacks                                                       [11:23:32] 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                                                       
  v |   1    95 | callbacks [2.8s]
  --------------------------------------------------------------------------------
  Warning ('test_callbacks.R:196'): 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 [0.7s]
  
  / |         0 | dmatrix                                                         
  / |         0 | testing xgb.DMatrix functionality                               
  / |         8 | testing xgb.DMatrix functionality                               [11:23:36] 6513x126 matrix with 143286 entries loaded from D:\temp\RtmpAF2jM5\xgb.DMatrix_a76c6b5649fe
  
  | |        15 | 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 [1.2s]
  --------------------------------------------------------------------------------
  Warning ('test_dmatrix.R:82'): 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 [82.6s]
  
  / |         0 | glm                                                             
  / |         0 | Test generalized linear models                                  
  - |         1 | Test generalized linear models                                  
  \ |         6 | 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 [1.1s]
  
  / |         0 | helpers                                                         
  / |         0 | Test helper functions                                           
  - |         1 | Test helper functions                                           [1]	train-logloss:0.636592 
  
  \ |        18 | 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                                           
  | |        95 | Test helper functions                                           
  \ |       138 | Test helper functions                                           
  - |       185 | Test helper functions                                           
  | |       239 | 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                                           
  \ |       302 | Test helper functions                                           
  - |       357 | Test helper functions                                           
  / |       404 | Test helper functions                                           
  \ |       450 | Test helper functions                                           
  - |       477 | Test helper functions                                           
  \ |       510 | Test helper functions                                           
  | |       547 | Test helper functions                                           
  / |       584 | Test helper functions                                           
  \ |       618 | Test helper functions                                           
  / |       652 | Test helper functions                                           
  / |       668 | Test helper functions                                           
  | |       671 | Test helper functions                                           
  / |       680 | Test helper functions                                           
  \ |       682 | Test helper functions                                           [1]	train-rmse:0.943398 
  
  - |       689 | 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                                           
  \ |     1 709 | Test helper functions                                           
  | |     1 714 | Test helper functions                                           
  | |     1 738 | Test helper functions                                           
  v |     1 745 | Test helper functions [8.4s]
  --------------------------------------------------------------------------------
  Skip ('test_helpers.R:386'): 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                         
  / |        12 | 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 
  
  v |        19 | Test prediction of feature interactions [2.1s]
  
  / |         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          
  - |        37 | Models from previous versions of XGBoost can be loaded          
  / |        56 | Models from previous versions of XGBoost can be loaded          
  | |        83 | Models from previous versions of XGBoost can be loaded          
  | |       111 | Models from previous versions of XGBoost can be loaded          
  | |       139 | Models from previous versions of XGBoost can be loaded          
  - |       169 | Models from previous versions of XGBoost can be loaded          
  / |       196 | Models from previous versions of XGBoost can be loaded          
  - |       221 | Models from previous versions of XGBoost can be loaded          
  v |       233 | Models from previous versions of XGBoost can be loaded [2.8s]
  
  / |         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 
  
  | |         3 | Learning to rank                                                [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  | |        11 | Learning to rank                                                [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  [11:25:25] WARNING: src/c_api/c_api.cc:935: `ntree_limit` is deprecated, use `iteration_range` instead.
  
  v |        14 | Learning to rank [0.3s]
  
  / |         0 | update                                                          
  / |         0 | update trees in an existing model                               [11:25:25] 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                               [11:25:25] 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                               [11:25:25] 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.
  [11:25:25] 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                               [11:25:25] 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.
  [11:25:26] 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                               
  v |        19 | update trees in an existing model [0.9s]
  
  == Results =====================================================================
  Duration: 123.7 s
  
  -- Skipped tests  --------------------------------------------------------------
  * empty test (1)
  
  [ FAIL 0 | WARN 2 | SKIP 1 | PASS 1316 ]
  > 
  > proc.time()
     user  system elapsed 
   132.19    4.35  127.28