Add sparklines
Create an HTML widget to display variable importance scores with a sparkline representation of each features effect (i.e., its partial dependence function).
add_sparklines(object, fit, digits = 3, free_y = FALSE, verbose = FALSE, ...) ## S3 method for class 'vi' add_sparklines(object, fit, digits = 3, free_y = FALSE, verbose = FALSE, ...)
object |
An object that inherits from class |
fit |
The original fitted model. Only needed if 'vi()' was not called with 'method = "firm"'. |
digits |
Integer specifying the minimal number of significant digits to use for displaying importance scores and, if available, their standard deviations. |
free_y |
Logical indicating whether or not the the y-axis limits should
be allowed to vary for each sparkline. Default is |
verbose |
Logical indicating whether or not to print progress. Default
is |
... |
Additional optional arguments to be passed on to
|
An object of class c("datatables", "htmlwidget"); essentially,
a data frame with three columns: Variable, Importance, and
Effect (a sparkline representation of the partial dependence
function). For "lm"/"glm"-like objects, an additional column, called
Sign, is also included which includes the sign (i.e., POS/NEG) of the
original coefficient.
Greenwell, B. M., Boehmke, B. C., and McCarthy, A. J. A Simple and Effective Model-Based Variable Importance Measure. arXiv preprint arXiv:1805.04755 (2018).
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.