plot.what_if_explainer {ceterisParibus}

Plot What If Explanations

Description

Function 'plot.what_if_explainer' plots What-If Plots for a single prediction / observation.

Usage

## S3 method for class 'what_if_explainer'
plot(
  x,
  ...,
  quantiles = TRUE,
  split = "models",
  split_ncol = NULL,
  color = "variables"
)

Arguments

x

a ceteris paribus explainer produced with the 'what_if' function

...

other explainers that shall be plotted together

quantiles

if TRUE (default) then quantiles will be presented on OX axis. If FALSE then original values will be presented on OX axis

split

a character, either 'models' or 'variables'. Sets the variable for faceting

split_ncol

number of columns for the 'facet_wrap'

color

a character, either 'models' or 'variables'. Sets the variable for coloring

Value

a ggplot2 object

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 <- what_if(explainer_rf, observation = new_apartment)
wi_rf

plot(wi_rf, split = "variables", color = "variables")
plot(wi_rf)

## End(Not run)