blob: d3aaa1da8608ad02597196c25e34fc642f6dde65 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
<html>
<head>
<title>
Netlab Reference Manual errbayes
</title>
</head>
<body>
<H1> errbayes
</H1>
<h2>
Purpose
</h2>
Evaluate Bayesian error function for network.
<p><h2>
Synopsis
</h2>
<PRE>
e = errbayes(net, edata)
[e, edata, eprior] = errbayes(net, edata)
</PRE>
<p><h2>
Description
</h2>
<CODE>e = errbayes(net, edata)</CODE> takes a network data structure
<CODE>net</CODE> together
the data contribution to the error for a set of inputs and targets.
It returns the regularised error using any zero mean Gaussian priors
on the weights defined in
<CODE>net</CODE>.
<p><CODE>[e, edata, eprior] = errbayes(net, x, t)</CODE> additionally returns the
data and prior components of the error.
<p><h2>
See Also
</h2>
<CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="mlperr.htm">mlperr</a></CODE>, <CODE><a href="rbferr.htm">rbferr</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
</body>
</html>
|
