most_important: Most Important Variables.
In mayer79/flashlight: Shed Light on Black Box Machine Learning Models
View source: R/light_importance.R
most_important R Documentation
Most Important Variables.
Description
Returns the most important variable names sorted descendingly.
Usage
most_important(x, top_m = Inf)
Arguments
x
An object of class "light_importance".
top_m
Maximum number of important variables to be returned.
Value
A character vector of variable names sorted in descending importance.
See Also
light_importance()
Examples
fit <- lm(Sepal.Length ~ ., data = iris)
fl <- flashlight(model = fit, label = "lm", data = iris, y = "Sepal.Length")
imp <- light_importance(fl)
most_important(imp)
most_important(imp, top_m = 2)
mayer79/flashlight documentation built on Feb. 13, 2024, 1:09 p.m.
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View source: R/light_importance.R
| most_important | R Documentation |
Most Important Variables.
Description
Returns the most important variable names sorted descendingly.
Usage
most_important(x, top_m = Inf)
Arguments
x |
An object of class "light_importance". |
top_m |
Maximum number of important variables to be returned. |
Value
A character vector of variable names sorted in descending importance.
See Also
light_importance()
Examples
fit <- lm(Sepal.Length ~ ., data = iris)
fl <- flashlight(model = fit, label = "lm", data = iris, y = "Sepal.Length")
imp <- light_importance(fl)
most_important(imp)
most_important(imp, top_m = 2)
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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