DALEX as wrapper of ingredients

library("DALEX")
library("randomForest")
apartments_rf <- archivist::aread("pbiecek/models/fe7a5")
explainer_apart_rf <- DALEX::explain(model = apartments_rf, 
                             data    = apartments_test[,-1],
                             y       = apartments_test$m2.price, 
                             label   = "Random Forest")

## Preparation of a new explainer is initiated
##   -> model label       :  Random Forest 
##   -> data              :  9000  rows  5  cols 
##   -> target variable   :  9000  values 
##   -> predict function  :  yhat.randomForest  will be used (  default  )
##   -> predicted values  :  No value for predict function target column. (  default  )
##   -> model_info        :  package randomForest , ver. 4.7.1.1 , task regression (  default  ) 
##   -> predicted values  :  numerical, min =  1985.837 , mean =  3506.107 , max =  5788.052  
##   -> residual function :  difference between y and yhat (  default  )
##   -> residuals         :  numerical, min =  -762.3422 , mean =  5.416971 , max =  1318.093  
##   A new explainer has been created!