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

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
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+++ b/sourcecodes/bnt-master/netlab3.3/gpcovarp.m
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+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);
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