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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/gpcovarp.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/gpcovarp.m | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/gpcovarp.m b/sourcecodes/bnt-master/netlab3.3/gpcovarp.m new file mode 100644 index 00000000..203c405c --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/gpcovarp.m @@ -0,0 +1,30 @@ +function [covp, covf] = gpcovarp(net, x1, x2) +%GPCOVARP Calculate the prior covariance for a Gaussian Process. +% +% Description +% +% COVP = GPCOVARP(NET, X1, X2) takes a Gaussian Process data structure +% NET together with two matrices X1 and X2 of input vectors, and +% computes the matrix of the prior covariance. This is the function +% component of the covariance plus the exponential of the bias term. +% +% [COVP, COVF] = GPCOVARP(NET, X1, X2) also returns the function +% component of the covariance. +% +% See also +% GP, GPCOVAR, GPCOVARF, GPERR, GPGRAD +% + +% Copyright (c) Ian T Nabney (1996-2001) + +errstring = consist(net, 'gp', x1); +if ~isempty(errstring); + error(errstring); +end + +if size(x1, 2) ~= size(x2, 2) + error('Number of variables in x1 and x2 must be the same'); +end + +covf = gpcovarf(net, x1, x2); +covp = covf + exp(net.bias); \ No newline at end of file |