varimp: Variable importance using the vip package and permutation...
In radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny
varimp R Documentation
Variable importance using the vip package and permutation importance
Description
Variable importance using the vip package and permutation importance
Usage
varimp(object, rvar, lev, data = NULL, seed = 1234)
Arguments
object
Model object created by Radiant
rvar
Label to identify the response or target variable
lev
Reference class for binary classifier (rvar)
data
Data to use for prediction. Will default to the data used to estimate the model
seed
Random seed for reproducibility
radiant.model documentation built on Oct. 16, 2023, 9:06 a.m.
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| varimp | R Documentation |
Variable importance using the vip package and permutation importance
Description
Variable importance using the vip package and permutation importance
Usage
varimp(object, rvar, lev, data = NULL, seed = 1234)
Arguments
object |
Model object created by Radiant |
rvar |
Label to identify the response or target variable |
lev |
Reference class for binary classifier (rvar) |
data |
Data to use for prediction. Will default to the data used to estimate the model |
seed |
Random seed for reproducibility |
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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