tl_plot_importance: Plot variable importance for tree-based models
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/supervised-trees.R
tl_plot_importance R Documentation
Plot variable importance for tree-based models
Description
Plot variable importance for tree-based models
Usage
tl_plot_importance(model, top_n = 20, ...)
Arguments
model
A tidylearn tree-based model object
top_n
Number of top features to display (default: 20)
...
Additional arguments
Value
A ggplot object
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/supervised-trees.R
| tl_plot_importance | R Documentation |
Plot variable importance for tree-based models
Description
Plot variable importance for tree-based models
Usage
tl_plot_importance(model, top_n = 20, ...)
Arguments
model |
A tidylearn tree-based model object |
top_n |
Number of top features to display (default: 20) |
... |
Additional arguments |
Value
A ggplot object
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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