ingredients (version 2.3.0)

plot.ceteris_paribus_oscillations: Plot Ceteris Paribus Oscillations

Description

This function plots local variable importance plots calculated as oscillations in the Ceteris Paribus Profiles.

Usage

# S3 method for ceteris_paribus_oscillations
plot(x, ..., bar_width = 10)

Value

a ggplot2 object

Arguments

x

a ceteris paribus oscillation explainer produced with function calculate_oscillations()

...

other explainers that shall be plotted together

bar_width

width of bars. By default 10.

References

Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. https://ema.drwhy.ai/

Examples

Run this code
# \donttest{
library("DALEX")
library("ranger")

apartments_rf_model <- ranger(m2.price ~., data = apartments)

explainer_rf <- explain(apartments_rf_model,
                        data = apartments_test[,-1],
                        y = apartments_test[,1],
                        label = "ranger forest",
                        verbose = FALSE)

apartment <- apartments_test[1:2,]

cp_rf <- ceteris_paribus(explainer_rf, apartment)
plot(cp_rf, color = "_ids_")

vips <- calculate_oscillations(cp_rf)
vips

plot(vips)
# }

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