grnn.x_pfi {yager} | R Documentation |
Derive the permutation feature importance of a predictor used in the GRNN
Description
The function grnn.x_pfi
derives the permutation feature importance (PFI) of a predictor used in the GRNN
Usage
grnn.x_pfi(net, i, class = FALSE, ntry = 1000, seed = 1)
Arguments
net |
The GRNN object generated by grnn.fit() |
i |
The ith predictor in the GRNN |
class |
TRUE or FALSE, whether it is for the classification or not |
ntry |
The number of random permutations to try, 1e3 times by default |
seed |
The seed value for the random permutation |
Value
A vector with the variable name and the PFI value.
See Also
Examples
data(iris, package = "datasets")
Y <- ifelse(iris[, 5] == "setosa", 1, 0)
X <- scale(iris[, 1:4])
gnet <- grnn.fit(x = X, y = Y)
grnn.x_pfi(net = gnet, 1)
[Package yager version 0.1.1 Index]