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comparison toolboxes/FullBNT-1.0.7/nethelp3.3/gperr.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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| 1 <html> | |
| 2 <head> | |
| 3 <title> | |
| 4 Netlab Reference Manual gperr | |
| 5 </title> | |
| 6 </head> | |
| 7 <body> | |
| 8 <H1> gperr | |
| 9 </H1> | |
| 10 <h2> | |
| 11 Purpose | |
| 12 </h2> | |
| 13 Evaluate error function for Gaussian Process. | |
| 14 | |
| 15 <p><h2> | |
| 16 Synopsis | |
| 17 </h2> | |
| 18 <PRE> | |
| 19 edata = gperr(net, x, t) | |
| 20 [e, edata, eprior] = gperr(net, x, t) | |
| 21 </PRE> | |
| 22 | |
| 23 | |
| 24 <p><h2> | |
| 25 Description | |
| 26 </h2> | |
| 27 <CODE>e = gperr(net, x, t)</CODE> takes a Gaussian Process data structure <CODE>net</CODE> together | |
| 28 with a matrix <CODE>x</CODE> of input vectors and a matrix <CODE>t</CODE> of target | |
| 29 vectors, and evaluates the error function <CODE>e</CODE>. Each row | |
| 30 of <CODE>x</CODE> corresponds to one input vector and each row of <CODE>t</CODE> | |
| 31 corresponds to one target vector. | |
| 32 | |
| 33 <p><CODE>[e, edata, eprior] = gperr(net, x, t)</CODE> additionally returns the | |
| 34 data and hyperprior components of the error, assuming a Gaussian | |
| 35 prior on the weights with mean and variance parameters <CODE>prmean</CODE> and | |
| 36 <CODE>prvariance</CODE> taken from the network data structure <CODE>net</CODE>. | |
| 37 | |
| 38 <p><h2> | |
| 39 See Also | |
| 40 </h2> | |
| 41 <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> | |
| 42 <b>Pages:</b> | |
| 43 <a href="index.htm">Index</a> | |
| 44 <hr> | |
| 45 <p>Copyright (c) Ian T Nabney (1996-9) | |
| 46 | |
| 47 | |
| 48 </body> | |
| 49 </html> |