Running 'testthat.R'
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                                                 
  ⠸ |         4 | 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:1.277041 
  [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 | basic functions                                                 
  ⠦ |        17 | basic functions                                                 [1]	train-error:0.027944 
  
  ⠙ |        32 | basic functions                                                 
  ⠴ |        36 | basic functions                                                 [17:57:11] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:11] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠼ |        45 | basic functions                                                 [17:57:11] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:11] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [1]	train-logloss:0.439409 
  [2]	train-logloss:0.299260 
  [3]	train-logloss:0.209937 
  [4]	train-logloss:0.150151 
  
  ⠹ |        53 | basic functions                                                 
  ⠸ |        54 | basic functions                                                 [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [1]	train-logloss:0.233470+0.001566	test-logloss:0.233607+0.004929 
  [2]	train-logloss:0.136850+0.001767	test-logloss:0.137010+0.006645 
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [1]	train-logloss:0.233483+0.001762	test-logloss:0.233527+0.005591 
  [2]	train-logloss:0.136860+0.002158	test-logloss:0.136933+0.007299 
  
  ⠼ |        65 | basic functions                                                 [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠴ |        66 | basic functions                                                 [17:57:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠦ |        67 | basic functions                                                 [17:57:13] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠋ |        71 | basic functions                                                 [1]	train-logloss:0.380601 
  [2]	train-logloss:0.247327 
  [3]	train-logloss:0.175046 
  [4]	train-logloss:0.122303 
  [5]	train-logloss:0.089890 
  [1]	train-logloss:0.497351 
  [2]	train-logloss:0.357289 
  [3]	train-logloss:0.257217 
  [4]	train-logloss:0.184524 
  [5]	train-logloss:0.132112 
  
  ⠴ |        76 | basic functions                                                 
  ⠧ |        78 | basic functions                                                 [1]	train-error:0.046522	train-auc:0.958228	train-logloss:0.233366 
  [2]	train-error:0.022263	train-auc:0.981413	train-logloss:0.136656 
  
  ✔ |        79 | basic functions [3.6s]
  
  ⠏ |         0 | callbacks                                                       
  ⠏ |         0 | callbacks                                                       
  ⠋ |         1 | callbacks                                                       [1]	train-auc:0.900000	test-auc:0.800000 
  
  ⠴ |        26 | callbacks                                                       
  ⠙ |        32 | callbacks                                                       
  ⠧ |        38 | callbacks                                                       
  ⠏ |        40 | callbacks                                                       
  ⠇ |   1    48 | callbacks                                                       
  ⠙ |   1    51 | callbacks                                                       
  ⠧ |   1    57 | callbacks                                                       
  ⠹ |   1    62 | callbacks                                                       [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                                                       [17:57:17] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:17] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:17] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:57:17] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠹ |   1    92 | callbacks                                                       
  ✔ |   1    95 | callbacks [3.4s]
  ────────────────────────────────────────────────────────────────────────────────
  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(...) test_callbacks.R:196:2
   2. xgboost:::f()
   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 
  
  ✔ |        12 | Test models with custom objective [0.5s]
  
  ⠏ |         0 | dmatrix                                                         
  ⠏ |         0 | testing xgb.DMatrix functionality                               
  ⠙ |        12 | testing xgb.DMatrix functionality                               
  ⠏ |   1    29 | testing xgb.DMatrix functionality                               
  ✔ |   1    37 | testing xgb.DMatrix functionality [0.4s]
  ────────────────────────────────────────────────────────────────────────────────
  Warning (test_dmatrix.R:68:3): xgb.DMatrix: getinfo & setinfo
  NAs introduced by coercion
  Backtrace:
   1. testthat::expect_error(setinfo(dtest, "weight", rep("a", nrow(test_data)))) test_dmatrix.R:68:2
   7. xgboost:::setinfo.xgb.DMatrix(dtest, "weight", rep("a", nrow(test_data)))
  ────────────────────────────────────────────────────────────────────────────────
  
  ⠏ |         0 | gc_safety                                                       
  ⠏ |         0 | Garbage Collection Safety Check                                 [17:57:38] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [1]	train-logloss:0.233366 
  [2]	train-logloss:0.136656 
  
  ⠋ |         1 | Garbage Collection Safety Check                                 
  ✔ |         1 | Garbage Collection Safety Check [45.2s]
  
  ⠏ |         0 | glm                                                             
  ⠏ |         0 | Test generalized linear models                                  
  ⠋ |         1 | Test generalized linear models                                  
  ⠴ |         6 | Test generalized linear models                                  
  ⠧ |         8 | Test generalized linear models                                  
  ✔ |        11 | Test generalized linear models [0.6s]
  
  ⠏ |         0 | helpers                                                         
  ⠏ |         0 | Test helper functions                                           [17:58:04] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:04] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:04] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:04] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠋ |         1 | Test helper functions                                           [17:58:04] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [1]	train-logloss:0.636592 
  
  ⠇ |        29 | 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:0.104754 
  [28]	train-rmse:0.096786 
  [29]	train-rmse:0.089361 
  [30]	train-rmse:0.083706 
  
  ⠧ |        48 | Test helper functions                                           
  ⠙ |        92 | Test helper functions                                           
  ⠇ |       139 | Test helper functions                                           
  ⠦ |       197 | 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:1.049560 
  [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:0.366654 
  [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                                           
  ⠧ |       298 | Test helper functions                                           
  ⠹ |       353 | Test helper functions                                           
  ⠹ |       413 | Test helper functions                                           
  ⠼ |       455 | Test helper functions                                           
  ⠴ |       476 | Test helper functions                                           
  ⠴ |       506 | Test helper functions                                           
  ⠹ |       533 | Test helper functions                                           
  ⠋ |       561 | Test helper functions                                           
  ⠇ |       589 | Test helper functions                                           
  ⠧ |       618 | Test helper functions                                           
  ⠇ |       639 | Test helper functions                                           
  ⠼ |       665 | Test helper functions                                           
  ⠙ |       672 | Test helper functions                                           
  ⠸ |       674 | Test helper functions                                           
  ⠏ |       680 | Test helper functions                                           
  ⠹ |       683 | Test helper functions                                           
  ⠼ |       685 | Test helper functions                                           
  ⠴ |       686 | Test helper functions                                           [17:58:12] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠙ |       692 | Test helper functions                                           
  ⠧ | 2     696 | Test helper functions                                           
  ⠏ | 3     697 | Test helper functions                                           
  ⠦ | 3     704 | Test helper functions                                           
  ⠏ | 3     707 | Test helper functions                                           
  ⠸ | 3     711 | Test helper functions                                           
  ⠼ | 3     712 | Test helper functions                                           
  ⠴ | 3     713 | Test helper functions                                           
  ✖ | 3     743 | Test helper functions [10.1s]
  ────────────────────────────────────────────────────────────────────────────────
  Error (test_helpers.R:338:3): xgb.plot.tree works with and without feature names
  Error: DiagrammeR package is required for xgb.plot.tree
  Backtrace:
   1. testthat::expect_silent(...) test_helpers.R:338:2
   9. xgboost::xgb.plot.tree(feature_names = feature.names, model = bst.Tree)
  
  Error (test_helpers.R:343:3): xgb.plot.multi.trees works with and without feature names
  <packageNotFoundError/error/condition>
  Error in `loadNamespace(x)`: there is no package called 'DiagrammeR'
  Backtrace:
   1. xgboost::xgb.plot.multi.trees(...) test_helpers.R:343:2
   2. base::loadNamespace(x)
   3. base::withRestarts(stop(cond), retry_loadNamespace = function() NULL)
   4. base:::withOneRestart(expr, restarts[[1L]])
   5. base:::doWithOneRestart(return(expr), restart)
  
  Error (test_helpers.R:348:3): xgb.plot.deepness works
  Error: igraph package is required for plotting the graph deepness.
  Backtrace:
   1. xgboost::xgb.plot.deepness(model = bst.Tree) test_helpers.R:348:2
  ────────────────────────────────────────────────────────────────────────────────
  
  ⠏ |         0 | interaction_constraints                                         
  ⠏ |         0 | interaction constraints                                         
  ⠋ |         1 | interaction constraints                                         
  ⠙ |         2 | interaction constraints                                         
  ✔ |         2 | interaction constraints [15.2s]
  
  ⠏ |         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                         
  ✔ |        17 | Test prediction of feature interactions [2.4s]
  
  ⠏ |         0 | model_compatibility                                             
  ⠏ |         0 | Models from previous versions of XGBoost can be loaded          
  ⠋ |         1 | Models from previous versions of XGBoost can be loaded          
  ⠇ |         9 | Models from previous versions of XGBoost can be loaded          
  ⠋ |        31 | Models from previous versions of XGBoost can be loaded          
  ⠏ |        60 | Models from previous versions of XGBoost can be loaded          
  ⠧ |        88 | Models from previous versions of XGBoost can be loaded          
  ⠋ |       121 | Models from previous versions of XGBoost can be loaded          
  ⠦ |       147 | Models from previous versions of XGBoost can be loaded          
  ⠇ |       179 | Models from previous versions of XGBoost can be loaded          
  ⠹ |       203 | Models from previous versions of XGBoost can be loaded          
  ⠹ |       233 | Models from previous versions of XGBoost can be loaded          
  ✔ |       243 | Models from previous versions of XGBoost can be loaded [2.5s]
  
  ⠏ |         0 | monotone                                                        
  ⠏ |         0 | monotone constraints                                            
  ⠋ |         1 | monotone constraints                                            
  ✔ |         1 | monotone constraints [0.2s]
  
  ⠏ |         0 | parameter_exposure                                              
  ⠏ |         0 | Test model params and call are exposed to R                     [17:58:34] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠋ |         1 | Test model params and call are exposed to R                     
  ✔ |         6 | Test model params and call are exposed to R [0.2s]
  
  ⠏ |         0 | poisson_regression                                              
  ⠏ |         0 | Test poisson regression model                                   
  ⠋ |         1 | Test poisson regression model                                   
  ✔ |         3 | Test poisson regression model [0.2s]
  
  ⠏ |         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                                                
  ✔ |        14 | Learning to rank [0.3s]
  
  ⠏ |         0 | update                                                          
  ⠏ |         0 | update trees in an existing model                               [17:58:35] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:35] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:35] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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.
  [17:58:35] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠋ |         1 | update trees in an existing model                               [17:58:35] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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.
  [17:58:35] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  
  ⠹ |         3 | update trees in an existing model                               [17:58:35] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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.
  [17:58:36] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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                               [17:58:36] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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.
  
  ⠼ |        15 | update trees in an existing model                               [17:58:36] WARNING: amalgamation/../src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'multi:softprob' was changed from 'merror' to 'mlogloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
  [17:58:36] WARNING: amalgamation/../src/gbm/gbtree.cc:82: 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 [1.0s]
  
  ══ Results ═════════════════════════════════════════════════════════════════════
  Duration: 86.2 s
  
  [ FAIL 3 | WARN 2 | SKIP 0 | PASS 1294 ]
  Error: Test failures
  Execution halted