R: Local Interpretable (Model-Agnostic) Visual Explanations

# Local Interpretable (Model-Agnostic) Visual Explanations

## Documentation for package ‘live’ version 1.5.13

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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.