Prints Individual Variable Explainer Summary

Prints Individual Variable Explainer Summary

# S3 method for individual_variable_profile_explainer
print(x, ...)

Arguments

x	an individual variable profile explainer produced with the `individual_variable_profile()` function
...	other arguments that will be passed to `head()`

Examples

library("DALEX2")
library("randomForest")
set.seed(59)

apartments_rf_model <- randomForest(m2.price ~ construction.year + surface + floor +
      no.rooms + district, data = apartments)

explainer_rf <- explain(apartments_rf_model,
      data = apartments_test[,2:6], y = apartments_test$m2.price)

apartments_small <- select_sample(apartments_test, 10)

cp_rf <- individual_variable_profile(explainer_rf, apartments_small)
cp_rf
#> Top profiles    : 
#>        construction.year surface floor no.rooms district   _yhat_
#> 8946                1920     123     8        4     Wola 2871.626
#> 8946.1              1921     123     8        4     Wola 2896.045
#> 8946.2              1922     123     8        4     Wola 2901.677
#> 8946.3              1923     123     8        4     Wola 2891.101
#> 8946.4              1923     123     8        4     Wola 2891.101
#> 8946.5              1924     123     8        4     Wola 2890.361
#>                  _vname_ _ids_      _label_
#> 8946   construction.year  8946 randomForest
#> 8946.1 construction.year  8946 randomForest
#> 8946.2 construction.year  8946 randomForest
#> 8946.3 construction.year  8946 randomForest
#> 8946.4 construction.year  8946 randomForest
#> 8946.5 construction.year  8946 randomForest
#> 
#> 
#> Top observations:
#>      construction.year surface floor no.rooms    district   _yhat_      _label_
#> 8946              1959     123     8        4        Wola 2386.002 randomForest
#> 4458              1927      68     8        2      Ochota 4222.164 randomForest
#> 7384              1929      95     5        3 Srodmiescie 4646.023 randomForest
#> 5450              1982     124    10        5      Ochota 3062.748 randomForest
#> 6744              1982     143     9        6     Ursynow 2171.529 randomForest
#> 6688              1938      75     7        3        Wola 3045.947 randomForest
#>      _ids_
#> 8946     1
#> 4458     2
#> 7384     3
#> 5450     4
#> 6744     5
#> 6688     6