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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/netlab3.3/dempot.m | |
| 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
Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/dempot.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/dempot.m | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/dempot.m b/sourcecodes/bnt-master/netlab3.3/dempot.m new file mode 100644 index 00000000..87301bce --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/dempot.m @@ -0,0 +1,17 @@ +function e = dempot(x, mix) +%DEMPOT Computes the negative log likelihood for a mixture model. +% +% Description +% This function computes the negative log of 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. +% +% See also +% DEMGPOT, DEMHMC1, DEMMET1 +% + +% Copyright (c) Ian T Nabney (1996-2001) + +% Computes the potential (negative log likelihood) +e = -log(gmmprob(mix, x)); \ No newline at end of file |