Prints Local Fit / Wangkardu Summary

Prints Local Fit / Wangkardu Summary

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

Arguments

x	a local fit explainer produced with the 'local_fit' function
...	other arguments that will be passed to 'head' function

Examples

library("DALEX")
library("randomForest")
apartments_rf_model <- randomForest(m2.price ~ construction.year + surface + floor +
                     no.rooms + district, data = apartments)
explainer_rf <- explain(apartments_rf_model,
                     data = apartmentsTest[,2:6], y = apartmentsTest$m2.price)
new_apartment <- apartmentsTest[1, ]
new_apartment
#>      m2.price construction.year surface floor no.rooms    district
#> 1001     4644              1976     131     3        5 Srodmiescie
cr_rf <- local_fit(explainer_rf, observation = new_apartment,
    select_points = 0.002, selected_variable = "surface")
cr_rf
#>           y_hat new_x   vname quant obs_id        label
#> 1001   4736.864    20 surface  0.00      0 randomForest
#> 1001.1 4729.518    21 surface  0.01      0 randomForest
#> 1001.2 4730.079    23 surface  0.02      0 randomForest
#> 1001.3 4725.593    24 surface  0.03      0 randomForest
#> 1001.4 4725.606    26 surface  0.04      0 randomForest
#> 1001.5 4718.965    27 surface  0.05      0 randomForest