Library: | nn |
See also: | nnrnet ann |
Quantlet: | nnrpredict | |
Description: | estimates for a given net and dataset the response. |
Usage: | yh=nnrpredict(x, net) | |
Input: | ||
x | n x p matrix input variables | |
net | composed object from nnrnet | |
Output: | ||
y | n x q matrix reponse variables |
x = read("kredit1") t = read("tkredit") y = x[,1] x = x[,2:21] x = (x-min(x))./(max(x)-min(x)) net = nnrnet (x, y, matrix(rows(x)), 10) yh = nnrpredict (x, net)
runs a neural network with 10 hidden units for the kredit data of Fahrmeier and Hammerle and computes the predicted values.
Library: | nn |
See also: | nnrnet ann |