plot.live_explainer: Plotting white box models.
In MI2DataLab/live: Local Interpretable (Model-Agnostic) Visual Explanations

Description Usage Arguments Value Examples

Plotting white box models.

1 2	## S3 method for class 'live_explainer' plot(x, type = "waterfall", ...)

`x`	List returned by fit_explanation function.
`type`	Chr, "forest" or "waterfall" depending on which type of plot is to be created. if lm/glm model is used as interpretable approximation.
`...`	Additional parameters that will be passed to plot.broken or plot method. In particular, when number of features is large, top_features argument can be set in plot.broken.

plot (ggplot2 or base)

## Not run: 
# Forest plot for regression
plot(fitted_explanation1, type = "forest")
# Waterfall plot
plot(fitted_explanation1, type = "waterfall")
# Plot decision tree
plot(fitted_explanation2)

## End(Not run)