Running ‘testthat.R’ [6s/8s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(localModel)
  > library(DALEX)
  Welcome to DALEX (version: 2.5.3).
  Find examples and detailed introduction at: http://ema.drwhy.ai/
  Additional features will be available after installation of: ggpubr.
  Use 'install_dependencies()' to get all suggested dependencies
  > library(randomForest)
  randomForest 4.7-1.2
  Type rfNews() to see new features/changes/bug fixes.
  > 
  > test_check("localModel")
  Preparation of a new explainer is initiated
    -> model label       :  randomForest  ( [33m default [39m )
    -> data              :  500  rows  6  cols 
    -> target variable   :  not specified! ( [31m WARNING [39m )
    -> predict function  :  yhat.randomForest  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package randomForest , ver. 4.7.1.2 , task multiclass ( [33m default [39m ) 
    -> model_info        :  Model info detected multiclass task but 'y' is a NULL .  ( [31m WARNING [39m )
    -> model_info        :  By deafult multiclass tasks supports only factor 'y' parameter. 
    -> model_info        :  Consider changing to a factor vector with true class names.
    -> model_info        :  Otherwise I will not be able to calculate residuals or loss function.
    -> predicted values  :  predict function returns multiple columns:  3  ( [33m default [39m ) 
    -> residual function :  difference between 1 and probability of true class ( [33m default [39m )
   [32m A new explainer has been created! [39m 
  Preparation of a new explainer is initiated
    -> model label       :  randomForest  ( [33m default [39m )
    -> data              :  500  rows  6  cols 
    -> target variable   :  not specified! ( [31m WARNING [39m )
    -> predict function  :  yhat.randomForest  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package randomForest , ver. 4.7.1.2 , task regression ( [33m default [39m ) 
    -> model_info        :  Model info detected regression task but 'y' is a NULL .  ( [31m WARNING [39m )
    -> model_info        :  By deafult regressions tasks supports only numercical 'y' parameter. 
    -> model_info        :  Consider changing to numerical vector.
    -> model_info        :  Otherwise I will not be able to calculate residuals or loss function.
    -> predicted values  :  numerical, min =  1789.265 , mean =  3503.397 , max =  5864.183  
    -> residual function :  difference between y and yhat ( [33m default [39m )
   [32m A new explainer has been created! [39m 
  Preparation of a new explainer is initiated
    -> model label       :  randomForest  ( [33m default [39m )
    -> data              :  500  rows  6  cols 
    -> target variable   :  not specified! ( [31m WARNING [39m )
    -> predict function  :  yhat.randomForest  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package randomForest , ver. 4.7.1.2 , task classification ( [33m default [39m ) 
    -> model_info        :  Model info detected classification task but 'y' is a NULL .  ( [31m WARNING [39m )
    -> model_info        :  By deafult classification tasks supports only numercical 'y' parameter. 
    -> model_info        :  Consider changing to numerical vector with 0 and 1 values.
    -> model_info        :  Otherwise I will not be able to calculate residuals or loss function.
    -> predicted values  :  numerical, min =  0 , mean =  0.4576 , max =  1  
    -> residual function :  difference between y and yhat ( [33m default [39m )
   [32m A new explainer has been created! [39m 
  Saving _problems/test_individual_surrogate_model-32.R
  Preparation of a new explainer is initiated
    -> model label       :  lm  ( [33m default [39m )
    -> data              :  500  rows  6  cols 
    -> target variable   :  not specified! ( [31m WARNING [39m )
    -> predict function  :  yhat.glm  will be used ( [33m default [39m )
    -> predicted values  :  No value for predict function target column. ( [33m default [39m )
    -> model_info        :  package stats , ver. 4.7.0 , task classification ( [33m default [39m ) 
    -> model_info        :  Model info detected classification task but 'y' is a NULL .  ( [31m WARNING [39m )
    -> model_info        :  By deafult classification tasks supports only numercical 'y' parameter. 
    -> model_info        :  Consider changing to numerical vector with 0 and 1 values.
    -> model_info        :  Otherwise I will not be able to calculate residuals or loss function.
    -> predicted values  :  numerical, min =  0.009202999 , mean =  0.464 , max =  0.9979422  
    -> residual function :  difference between y and yhat ( [33m default [39m )
   [32m A new explainer has been created! [39m 
  Saving _problems/test_individual_surrogate_model-65.R
  [ FAIL 2 | WARN 13 | SKIP 0 | PASS 18 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test_individual_surrogate_model.R:27:3'): individual_surrogate_model works with random forest and two classes ──
  Expected `... <- NULL` to run silently.
  Actual noise: warnings.
  ── Failure ('test_individual_surrogate_model.R:60:3'): individual_surrogate_model works with glm and two classes ──
  Expected `... <- NULL` to run silently.
  Actual noise: warnings.
  
  [ FAIL 2 | WARN 13 | SKIP 0 | PASS 18 ]
  Error:
  ! Test failures.
  Warning messages:
  1: In structure(lapply(object$data, class), .Names = vnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  2: In structure(lapply(newdata, class), .Names = ndnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  3: In structure(lapply(object$data, class), .Names = vnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  4: In structure(lapply(newdata, class), .Names = ndnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  5: In structure(lapply(object$data, class), .Names = vnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  6: In structure(lapply(newdata, class), .Names = ndnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  7: In structure(lapply(object$data, class), .Names = vnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  8: In structure(lapply(newdata, class), .Names = ndnames) :
    Replacing special names '.Names' is deprecated; use 'names' instead.
  Execution halted