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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/gpcovar.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-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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diff --git a/sourcecodes/bnt-master/nethelp3.3/gpcovar.htm b/sourcecodes/bnt-master/nethelp3.3/gpcovar.htm new file mode 100644 index 00000000..f626f8fd --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/gpcovar.htm @@ -0,0 +1,64 @@ +<html> +<head> +<title> +Netlab Reference Manual gpcovar +</title> +</head> +<body> +<H1> gpcovar +</H1> +<h2> +Purpose +</h2> +Calculate the covariance for a Gaussian Process. + +<p><h2> +Synopsis +</h2> +<PRE> +cov = gpcovar(net, x) +[cov, covf] = gpcovar(net, x) +</PRE> + + +<p><h2> +Description +</h2> + +<p><CODE>cov = gpcovar(net, x)</CODE> takes +a Gaussian Process data structure <CODE>net</CODE> together with +a matrix <CODE>x</CODE> of input vectors, and computes the covariance +matrix <CODE>cov</CODE>. The inverse of this matrix is used when calculating +the mean and variance of the predictions made by <CODE>net</CODE>. + +<p><CODE>[cov, covf] = gpcovar(net, x)</CODE> also generates the covariance +matrix due to the covariance function specified by <CODE>net.covarfn</CODE> +as calculated by <CODE>gpcovarf</CODE>. + +<p><h2> +Example +</h2> +In the following example, the inverse covariance matrix is calculated +for a set of training inputs <CODE>x</CODE> and is then +passed to <CODE>gpfwd</CODE> so that predictions (with mean <CODE>ytest</CODE> and +variance <CODE>sigsq</CODE>) can be made for the test inputs +<CODE>xtest</CODE>. +<PRE> + +cninv = inv(gpcovar(net, x)); +[ytest, sigsq] = gpfwd(net, xtest, cninv); +</PRE> + + +<p><h2> +See Also +</h2> +<CODE><a href="gp.htm">gp</a></CODE>, <CODE><a href="gppak.htm">gppak</a></CODE>, <CODE><a href="gpunpak.htm">gpunpak</a></CODE>, <CODE><a href="gpcovarp.htm">gpcovarp</a></CODE>, <CODE><a href="gpcovarf.htm">gpcovarf</a></CODE>, <CODE><a href="gpfwd.htm">gpfwd</a></CODE>, <CODE><a href="gperr.htm">gperr</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> \ No newline at end of file |