pnn.fit: Create a probabilistic neural network

In yap: Yet Another Probabilistic Neural Network

Description

The function pnn.fit creates a probabilistic neural network (PNN)

Usage

pnn.fit(x, y, sigma = 1)

Arguments

x	A matrix of predictors
y	A vector of N-category factors
sigma	A scalar with the positive value

Value

A PNN object

References

Donald Specht. (1990). Probabilistic Neural Networks.

Examples

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

Example output

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