All functions

add_predictions()

Add black box predictions to generated dataset 
add_predictions2()

Add black box predictions to generated dataset 
calculate_weights()

Calculate weights for explanation model 
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. 
euclidean_kernel()

LIME kernel equal to the inverse of euclidean distance. 
fit_explanation()

Fit white box model to the simulated data. 
fit_explanation2()

Fit white box model to the simulated data. 
gaussian_kernel()

LIME kernel from the original article with sigma = 1. 
generate_neighbourhood()

LIME: sampling for local exploration 
generate_neighbourhood2()

LIME: sampling for local exploration by changing one value per observation. 
give_predictions()

Add predictions to generated dataset. 
give_predictions2()

Add predictions to generated dataset. 
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_permutation_importance()

Local permutation variable importance 
normal_neighbourhood()

LIME: sampling for local exploration using normal distribution. 
permutation_neighbourhood()

LIME: sampling for local exploration by permuting all columns. 
plot(<live_explainer>)

Plotting white box models. 
plot(<local_permutation_importance>)

Plot local permutation importance 
plot_explanation()

Plotting white box models. 
plot_explanation2()

Plotting white box models. 
plot_regression()

Waterfall plot or forestplot for lm/glm explanations. 
plot_regression2()

Waterfall plot or forestplot for lm/glm explanations. 
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.
DEPRECATED. Please refer to sample_locally2 function for updated and improved interface.
This function will be removed in the future and was left only
to remain consistent with the examples given in https://arxiv.org/abs/1804.01955.
For more, see NEWS and vignette. 
sample_locally2()

Generate dataset for local exploration. 
select_variables()

Select variables for explanation model. 
set_constant_dates()

Set date values to one value 
set_constant_variables()

Set date values to one value 
wine

Red wine characteristics and quality. 