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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/gperr.htm
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
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+<html>
+<head>
+<title>
+Netlab Reference Manual gperr
+</title>
+</head>
+<body>
+<H1> gperr
+</H1>
+<h2>
+Purpose
+</h2>
+Evaluate error function for Gaussian Process.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+edata = gperr(net, x, t)
+[e, edata, eprior] = gperr(net, x, t)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+<CODE>e = gperr(net, x, t)</CODE> takes a Gaussian Process data structure <CODE>net</CODE> together 
+with a matrix <CODE>x</CODE> of input vectors and a matrix <CODE>t</CODE> of target
+vectors, and evaluates the error function <CODE>e</CODE>. Each row
+of <CODE>x</CODE> corresponds to one input vector and each row of <CODE>t</CODE>
+corresponds to one target vector.
+
+<p><CODE>[e, edata, eprior] = gperr(net, x, t)</CODE> additionally returns the
+data and hyperprior components of the error, assuming a Gaussian
+prior on the weights with mean and variance parameters <CODE>prmean</CODE> and
+<CODE>prvariance</CODE> taken from the network data structure <CODE>net</CODE>.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gpcovar.htm">gpcovar</a></CODE>, <CODE><a href="gpfwd.htm">gpfwd</a></CODE>, <CODE><a href="gpgrad.htm">gpgrad</a></CODE><hr>
+<b>Pages:</b>
+<a href="index.htm">Index</a>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+
+
+</body>
+</html>
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