local_fit: Local Fit / Wangkardu Explanations

In ceterisParibus: Ceteris Paribus Profiles

Description

Local Fit / Wangkardu Explanations

Usage

local_fit(
  explainer,
  observation,
  selected_variable,
  grid_points = 101,
  select_points = 0.1
)

Arguments

explainer	a model to be explained, preprocessed by the 'DALEX::explain' function
observation	a new observarvation for which predictions need to be explained
selected_variable	variable to be presented in the local fit plot
grid_points	number of points used for response path
select_points	fraction of points fromvalidation data to be presented in local fit plots

Value

An object of the class 'local_fit_explainer'. It's a data frame with calculated average responses.

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

cr_rf <- local_fit(explainer_rf, observation = new_apartment,
    select_points = 0.002, selected_variable = "surface")
cr_rf

## End(Not run)

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