Local Interpretable (Model-Agnostic) Visual Explanations

Documentation for package ‘live’ version 1.4.2

live-package	live: visualizing interpretable models to explain black box models.
add_predictions	Add black box predictions to generated dataset
check_conditions	Check if data, explained instance and size make sense.
check_for_na	Alert user if NAs are present
create_task	Create regression or classification task.
fit_explanation	Fit white box model to the simulated data.
generate_neighbourhood	LIME: sampling for local exploration
give_predictions	Add predictions to generated dataset.
live	live: visualizing interpretable models to explain black box models.
plot_explanation	Plotting white box models.
plot_regression	Waterfall plot or forestplot for lm/glm explanations.
sample_locally	Generate dataset for local exploration.
set_constant_dates	Set date values to one value
wine	Red wine characteristics and quality.