plot.what_if_explainer: Plot What If Explanations

In ceterisParibus: Ceteris Paribus Profiles

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)

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