what_if_2d: What-If 2D Plot

In ceterisParibus: Ceteris Paribus Profiles

Description

This function calculates what if scores for grid of values spanned by two variables.

Usage

what_if_2d(
  explainer,
  observation,
  grid_points = 101,
  selected_variables = NULL
)

Arguments

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

Value

An object of the class 'what_if_2d_explainer'. It's a data frame with calculated average responses.

Examples

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)

ceterisParibus documentation built on March 31, 2020, 5:22 p.m.