pnn.pfi: Derive the PFI rank of all predictors used in the PNN

In yap: Yet Another Probabilistic Neural Network

Description

The function pnn.pfi derives the PFI rank of all predictors used in the PNN It essentially is a wrapper around the function pnn.x_pfi.

Usage

pnn.pfi(net, ntry = 1000, seed = 1)

Arguments

net	A PNN object generated by pnn.fit()
ntry	The number of random permutations to try, 1e3 times by default
seed	The seed value for the random permutation

Value

A dataframe with PFI values of all predictors in the PNN

See Also

pnn.x_pfi

Examples

data(iris, package = "datasets")
Y <- iris[, 5]
X <- scale(iris[, 1:4])
pnet <- pnn.fit(x = X, y = Y)

pnn.pfi(pnet)

yap documentation built on Oct. 26, 2020, 1:06 a.m.