View source: R/variable_importance.R
get_variable_importance | R Documentation |
Get variable importances
get_variable_importance(models, remove_zeros = TRUE, top_n)
models |
model_list object |
remove_zeros |
Remove features with zero variable importance? Default is TRUE |
top_n |
Integer: How many variables to return? The top_n most important variables be returned. If missing (default), all variables are returned |
Some algorithms provide variable importance, others don't. The best-performing model that offers variable importance will be used.
Data frame of variables and their importance for predictive power
plot.variable_importance
m <- machine_learn(mtcars, outcome = mpg, models = "rf", tune = FALSE) (vi <- get_variable_importance(m)) plot(vi)
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