Function reference • triplot

Predict aspects Functions for local model explanations. Also known as aspect importance.
`aspect_importance()` `lime()` `predict_aspects()`	Calculates importance of variable groups (called aspects) for a selected observation
`aspect_importance_single()`	Aspects importance for single aspects
`plot(<aspect_importance>)`	Function for plotting aspect_importance results
`print(<aspect_importance>)`	Function for printing aspect_importance results
`get_sample()`	Function for getting binary matrix
Triplot Plots for hierarchical feature grouping.
`calculate_triplot()` `print(<triplot>)` `model_triplot()` `predict_triplot()`	Calculate triplot that sums up automatic aspect/feature importance grouping
`plot(<triplot>)`	Plots triplot
`hierarchical_importance()` `plot(<hierarchical_importance>)`	Calculates importance of hierarchically grouped aspects
Variables grouping Function for variables grouping.
`cluster_variables()`	Creates a cluster tree from numeric features
`plot(<cluster_variables>)`	Plots tree with correlation values
`list_variables()`	Cuts tree at custom height and returns a list
`group_variables()`	Helper function that combines clustering variables and creating aspect list

Reference