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, 26 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/netlab3.3/gmmprob.m b/sourcecodes/bnt-master/netlab3.3/gmmprob.m
new file mode 100644
index 00000000..8f438b66
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+++ b/sourcecodes/bnt-master/netlab3.3/gmmprob.m
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+function prob = gmmprob(mix, x)
+%GMMPROB Computes the data probability for a Gaussian mixture model.
+%
+%	Description
+%	 This function computes the unconditional data density P(X) for a
+%	Gaussian mixture model.  The data structure MIX defines the mixture
+%	model, while the matrix X contains the data vectors.  Each row of X
+%	represents a single vector.
+%
+%	See also
+%	GMM, GMMPOST, GMMACTIV
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+% Check that inputs are consistent
+errstring = consist(mix, 'gmm', x);
+if ~isempty(errstring)
+  error(errstring);
+end
+
+% Compute activations
+a = gmmactiv(mix, x);
+
+% Form dot product with priors
+prob = a * (mix.priors)';
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