identity_kernel: LIME kernel that treats all observations as equally similar...

In mstaniak/localExplanations: LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles

Description

Kernels are meant to be used as an argument to individual_surrogate_model function. Other custom functions can be used. Such functions take two vectors and return a single number.

Usage

identity_kernel(explained_instance, simulated_instance)

Arguments

explained_instance	explained instance
simulated_instance	new observation

Value

numeric

Examples

library(DALEX)
library(randomForest)
library(localModel)
data('apartments')
mrf <- randomForest(m2.price ~., data = apartments, ntree = 50)
explainer <- explain(model = mrf,
                     data = apartments[, -1])
model_lok <- individual_surrogate_model(explainer, apartments[5, -1],
                                        size = 500, seed = 17,
                                        kernel = identity_kernel)
# In this case each simulated observation has equal weight
# when explanation model (LASSO) is fitted.
model_lok
plot(model_lok)

mstaniak/localExplanations documentation built on Sept. 24, 2021, 6:21 p.m.