Description Usage Arguments Value Examples
This function calculates what if scores for grid of values spanned by two variables.
1 2 3 4 5 6 | what_if_2d(
explainer,
observation,
grid_points = 101,
selected_variables = NULL
)
|
explainer |
a model to be explained, preprocessed by the 'DALEX::explain' function |
observation |
a new observarvation for which predictions need to be explained |
grid_points |
number of points used for response path. Will be used for both variables |
selected_variables |
if specified, then only these variables will be explained |
An object of the class 'what_if_2d_explainer'. It's a data frame with calculated average responses.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | library("DALEX")
## Not run:
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 = apartmentsTest[,2:6], y = apartmentsTest$m2.price)
new_apartment <- apartmentsTest[1, ]
new_apartment
wi_rf_2d <- what_if_2d(explainer_rf, observation = new_apartment,
selected_variables = c("surface", "floor", "no.rooms"))
wi_rf_2d
plot(wi_rf_2d)
## End(Not run)
|
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