Local Interpretable (Model-Agnostic) Visual Explanations

Documentation for package ‘live’ version 1.5.13

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.