vivo (version 0.1.0)

plot.local_importance: Plot Local Variable Importance measure

Description

Function plot.local_importance plots local importance measure based on Ceteris Paribus profiles.

Usage

# S3 method for local_importance
plot(x, ...)

Arguments

x

object returned from `local_variable_importance()` function

...

other parameters

Value

a ggplot2 object

Examples

# NOT RUN {
library("DALEX")
data(apartments)

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

explainer_rf <- explain(apartments_rf_model, data = apartmentsTest[,2:5],
                        y = apartmentsTest$m2.price)

new_apartment <- data.frame(construction.year = 1998, surface = 88, floor = 2L, no.rooms = 3)

library("ingredients")
profiles <- ceteris_paribus(explainer_rf, new_apartment)

library("vivo")
measure <- local_variable_importance(profiles, apartments[,2:5],
                          absolute_deviation = TRUE, point = TRUE, density = FALSE)

plot(measure)


# }