Running 'testthat.R'
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(DALEXtra)
  Loading required package: DALEX
  Welcome to DALEX (version: 2.3.0).
  Find examples and detailed introduction at: http://ema.drwhy.ai/
  
  Anaconda not found on your computer. Conda related functionality such as create_env.R and condaenv and yml parameters from explain_scikitlearn will not be available
  > 
  > test_check("DALEXtra")
  
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    |======================================================================| 100%Preparation of a new explainer is initiated
    -> model label       :  LM 
    -> data              :  9000  rows  6  cols 
    -> target variable   :  9000  values 
    -> predict function  :  yhat.WrappedModel  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package mlr , ver. 2.19.0 , task regression ( [33m default [39m ) 
    -> predicted values  :  numerical, min =  1792.597 , mean =  3506.836 , max =  6241.447  
    -> residual function :  difference between y and yhat ( [33m default [39m )
    -> residuals         :  numerical, min =  -257.2555 , mean =  4.687686 , max =  472.356  
   [32m A new explainer has been created! [39m 
  Preparation of a new explainer is initiated
    -> model label       :  RF 
    -> data              :  9000  rows  6  cols 
    -> target variable   :  9000  values 
    -> predict function  :  yhat.WrappedModel  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package mlr , ver. 2.19.0 , task regression ( [33m default [39m ) 
    -> predicted values  :  numerical, min =  1997.338 , mean =  3509.029 , max =  5770.839  
    -> residual function :  difference between y and yhat ( [33m default [39m )
    -> residuals         :  numerical, min =  -729.3669 , mean =  2.494068 , max =  1273.384  
   [32m A new explainer has been created! [39m 
  Preparation of a new explainer is initiated
    -> model label       :  GBM 
    -> data              :  9000  rows  6  cols 
    -> target variable   :  9000  values 
    -> predict function  :  yhat.WrappedModel  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package mlr , ver. 2.19.0 , task regression ( [33m default [39m ) 
    -> predicted values  :  numerical, min =  2120.487 , mean =  3504.064 , max =  6047.988  
    -> residual function :  difference between y and yhat ( [33m default [39m )
    -> residuals         :  numerical, min =  -523.2291 , mean =  7.459491 , max =  777.0226  
   [32m A new explainer has been created! [39m 
  additional arguments ignored in warning()
  additional arguments ignored in warning()
  [12:27:05] WARNING: amalgamation/../src/learner.cc:573: 
  Parameters: { "prediction" } might not be used.
  
    This may not be accurate due to some parameters are only used in language bindings but
    passed down to XGBoost core.  Or some parameters are not used but slip through this
    verification. Please open an issue if you find above cases.
  
  
  [12:27:05] 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.
  [12:27:05] WARNING: amalgamation/../src/learner.cc:573: 
  Parameters: { "prediction" } might not be used.
  
    This may not be accurate due to some parameters are only used in language bindings but
    passed down to XGBoost core.  Or some parameters are not used but slip through this
    verification. Please open an issue if you find above cases.
  
  
  [12:27:05] WARNING: amalgamation/../src/learner.cc:573: 
  Parameters: { "prediction" } might not be used.
  
    This may not be accurate due to some parameters are only used in language bindings but
    passed down to XGBoost core.  Or some parameters are not used but slip through this
    verification. Please open an issue if you find above cases.
  
  
  [12:27:05] 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.
  ══ Skipped tests ═══════════════════════════════════════════════════════════════
  • Conda test env needed for tests (6)
  • JAVA entry needed for tests (4)
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure (test_champion_challenger.R:43:3): Report generates without errors ──
  `champion_challenger(report_data, dot_size = 3)` threw an error.
  Message: pandoc version 1.12.3 or higher is required and was not found (see the help page ?rmarkdown::pandoc_available).
  Class:   simpleError/error/condition
  Backtrace:
      █
   1. ├─testthat::expect_error(...) test_champion_challenger.R:43:2
   2. │ └─testthat:::quasi_capture(...)
   3. │   ├─testthat:::.capture(...)
   4. │   │ └─base::withCallingHandlers(...)
   5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
   6. └─DALEXtra::champion_challenger(report_data, dot_size = 3)
   7.   └─rmarkdown::render(...)
   8.     └─rmarkdown::pandoc_available(required_pandoc, error = TRUE)
   9.       └─rmarkdown:::stop2(paste(msg, collapse = " "))
  
  [ FAIL 1 | WARN 0 | SKIP 10 | PASS 46 ]
  Error: Test failures
  Execution halted