Plot regularized model coefficients
# S3 method for interpret plot( x, include_intercept = FALSE, max_char = 40, title, caption, font_size = 11, point_size = 3, print = TRUE, ... )
x | A |
---|---|
include_intercept | If FALSE (default) the intercept estimate will not be plotted |
max_char | Maximum length of variable names to leave untruncated.
Default = 40; use |
title | Plot title. NULL for no title; character for custom title. If left blank contains the model class and outcome variable |
caption | Plot caption, appears in lower-right. NULL for no caption;
character for custom caption. If left blank the caption will contain info
including the hyperparameter values of the model used by
|
font_size | Relative size of all fonts in plot, default = 11 |
point_size | Size of dots, default = 3 |
Print the plot? Default = TRUE |
|
... | Unused |
A ggplot object, invisibly.
machine_learn(mtcars, outcome = mpg, models = "glm", tune = FALSE) %>% interpret() %>% plot(font_size = 14)#>#> #>#> #>#>#>#> #>#>