Local Interpretable (Model-Agnostic) Visual Explanations


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Documentation for package ‘live’ version 1.4.2

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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.