plot_interactive: Plots Interactive What-If Explanations

In ceterisParibus: Ceteris Paribus Profiles

Description

Function 'plot_interactive.what_if_explainer' plots Ceteris Paribus Plots for a single prediction.

Usage

## S3 method for class 'what_if_explainer'
plot_interactive(x, ..., split = "models", color = "variables")

plot_interactive(x, ...)

## Default S3 method:
plot_interactive(x, ..., split = "models", color = "variables")

Arguments

x	a ceteris_paribus explainer produced with the 'ceteris_paribus' function
...	other explainers that shall be plotted together
split	a character, either 'models' or 'variables'. Sets the variable for faceting
color	a character, either 'models' or 'variables'. Sets the variable for coloring

Value

a ggiraph object

Examples

library("DALEX")
 ## Not run: 
library("ggiraph")
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_interactive(wi_rf, split = "variables", color = "variables")

## End(Not run)

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