All functions
add_predictions()	Add black box predictions to generated dataset
euclidean_kernel()	LIME kernel equal to the inverse of euclidean distance.
fit_explanation()	Fit white box model to the simulated data.
gaussian_kernel()	LIME kernel from the original article with sigma = 1.
identity_kernel()	LIME kernel that treats all observations as equally similar to observation of interest.
live	live: visualizing interpretable models to explain black box models.
live_shiny()	Function that starts a Shiny app which helps use LIVE.
local_approximation()	Fit local model around the observation: shortcut for DALEX explainer objects
local_permutation_importance()	Local permutation variable importance
plot(<live_explainer>)	Plotting white box models.
plot(<local_permutation_importance>)	Plot local permutation importance
print(<live_explainer>)	Generic print function for live explainer
print(<live_explorer>)	Generic print function for class live_explorer
print(<local_permutation_importance>)	Print method for local_permutation_importance class
sample_locally()	Generate dataset for local exploration.
wine	Red wine characteristics and quality.