XploRe Help : nnrinfo

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library:	nn
See also:	nnrnet ann

Quantlet:		nnrinfo
Description:		gives information about the net

Reference(s):

Venables and Ripley (1994): Modern Applied Statistics with S-Plus; p. 261-266

Usage:	`ts = nnrinfo(net)`
Input:
	`net`	list, composed object from nnrnet
Output:
	`ts`	vector containing information about the net

Example:

library("nn") x = read("kredit") t = read("tkredit") randomize(98765) y = x[,1] x = x[,2:21] x =(x-min(x))./(max(x)-min(x)) net = nnrnet(x, y, matrix(rows(x)), 10) nnrinfo(net)

Result:

Runs a neural network with 10 hidden units for the kredit
data of Fahrmeier and Hammerle, computes the predicted
values and shows the results.

Contents of ts
[1,] "A 20 - 10 - 1 network:"
[2,] "# weights     : 221"
[3,] "linear output : no"
[4,] "error function: least squares"
[5,] "log prob model: no"
[6,] "skip links    : no"
[7,] "max. weight   : 0.70"
[8,] "decay         : 0"
[9,] "max. Iterat   : 100"

Contents of ts
[  1,] "A 20 - 10 - 1 network:"
[  2,] "# weights     : 221"
[  3,] "linear output : no"
[  4,] "error function: least squares"
[  5,] "log prob model: no"
[  6,] "skip links    : no"
[  7,] "decay         : 0"
[  8,] ""
[  9,] " From    To Weights"
[ 10,] "    0    21   -4.46"
[ 11,] "    1    21   -3.66"
[ 12,] "    2    21    -1.1"
[ 13,] "    3    21    -3.1"
...
[228,] "   28    31     146"
[229,] "   29    31      52"
[230,] "   30    31    57.3"

Author: S. Klinke, 19970604 license MD*Tech