yager (version 0.1.0)

grnn.parpred: Calculate predicted values of GRNN by using parallelism

Description

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

Usage

grnn.parpred(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.predict

Examples

# NOT RUN {
data(iris, package = "datasets")
Y <- ifelse(iris[, 5] == "setosa", 1, 0)
X <- scale(iris[, 1:4])
gnet <- grnn.fit(x = X, y = Y)
grnn.parpred(gnet, X[seq(5), ])
# }