identity_kernel {localModel} | R Documentation |
LIME kernel that treats all observations as equally similar to the observation of interest.
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)
[Package localModel version 0.5 Index]