Plot a condensed overview of all explanations

This function produces a facetted heatmap visualisation of all case/label/feature combinations. Compared to plot_features() it is much more condensed, thus allowing for an overview of many explanations in one plot. On the other hand it is less useful for getting exact numerical statistics of the explanation.

plot_explanations(explanation, ...)

Arguments

explanation

A data.frame as returned by explain().

...

Parameters passed on to ggplot2::facet_wrap()

Value

A ggplot object

See also

Other explanation plots: plot_features(), plot_text_explanations()

Examples

# Create some explanations
library(MASS)
iris_test <- iris[c(1, 51, 101), 1:4]
iris_train <- iris[-c(1, 51, 101), 1:4]
iris_lab <- iris[[5]][-c(1, 51, 101)]
model <- lda(iris_train, iris_lab)
explanation <- lime(iris_train, model)
explanations <- explain(iris_test, explanation, n_labels = 1, n_features = 2)

# Get an overview with the standard plot
plot_explanations(explanations)
#> Warning: `aes_()` was deprecated in ggplot2 3.0.0.
#> ℹ Please use tidy evaluation idioms with `aes()`
#> ℹ The deprecated feature was likely used in the lime package.
#>   Please report the issue at <https://github.com/tidymodels/lime/issues>.
#> Warning: The `size` argument of `element_rect()` is deprecated as of ggplot2 3.4.0.
#> ℹ Please use the `linewidth` argument instead.
#> ℹ The deprecated feature was likely used in the lime package.
#>   Please report the issue at <https://github.com/tidymodels/lime/issues>.