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1 <html> | |
2 <head> | |
3 <title> | |
4 Netlab Reference Manual gpcovar | |
5 </title> | |
6 </head> | |
7 <body> | |
8 <H1> gpcovar | |
9 </H1> | |
10 <h2> | |
11 Purpose | |
12 </h2> | |
13 Calculate the covariance for a Gaussian Process. | |
14 | |
15 <p><h2> | |
16 Synopsis | |
17 </h2> | |
18 <PRE> | |
19 cov = gpcovar(net, x) | |
20 [cov, covf] = gpcovar(net, x) | |
21 </PRE> | |
22 | |
23 | |
24 <p><h2> | |
25 Description | |
26 </h2> | |
27 | |
28 <p><CODE>cov = gpcovar(net, x)</CODE> takes | |
29 a Gaussian Process data structure <CODE>net</CODE> together with | |
30 a matrix <CODE>x</CODE> of input vectors, and computes the covariance | |
31 matrix <CODE>cov</CODE>. The inverse of this matrix is used when calculating | |
32 the mean and variance of the predictions made by <CODE>net</CODE>. | |
33 | |
34 <p><CODE>[cov, covf] = gpcovar(net, x)</CODE> also generates the covariance | |
35 matrix due to the covariance function specified by <CODE>net.covarfn</CODE> | |
36 as calculated by <CODE>gpcovarf</CODE>. | |
37 | |
38 <p><h2> | |
39 Example | |
40 </h2> | |
41 In the following example, the inverse covariance matrix is calculated | |
42 for a set of training inputs <CODE>x</CODE> and is then | |
43 passed to <CODE>gpfwd</CODE> so that predictions (with mean <CODE>ytest</CODE> and | |
44 variance <CODE>sigsq</CODE>) can be made for the test inputs | |
45 <CODE>xtest</CODE>. | |
46 <PRE> | |
47 | |
48 cninv = inv(gpcovar(net, x)); | |
49 [ytest, sigsq] = gpfwd(net, xtest, cninv); | |
50 </PRE> | |
51 | |
52 | |
53 <p><h2> | |
54 See Also | |
55 </h2> | |
56 <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> | |
57 <b>Pages:</b> | |
58 <a href="index.htm">Index</a> | |
59 <hr> | |
60 <p>Copyright (c) Ian T Nabney (1996-9) | |
61 | |
62 | |
63 </body> | |
64 </html> |