grnn.predict: Calculate predicted values of GRNN

In yager: Yet Another General Regression Neural Network

Description

The function grnn.predict calculates a vector of GRNN predicted values based on an input matrix

Usage

grnn.predict(net, x)

Arguments

net	The GRNN object generated by grnn.fit()
x	The matrix of input predictors

Value

A vector of predicted values

See Also

grnn.predone

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.predict(gnet, X[seq(5), ])

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