The function grnn.predict calculates a vector of GRNN predicted values based on an input matrix
grnn.predict
grnn.predict(net, x)
The GRNN object generated by grnn.fit()
The matrix of input predictors
A vector of predicted values
grnn.predone
# 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.predict(gnet, X[seq(5), ]) # }
Run the code above in your browser using DataLab