Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/bnt/CPDs/@gaussian_CPD/set_fields.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function CPD = set_fields(CPD, varargin) | |
2 % SET_PARAMS Set the parameters (fields) for a gaussian_CPD object | |
3 % CPD = set_params(CPD, name/value pairs) | |
4 % | |
5 % The following optional arguments can be specified in the form of name/value pairs: | |
6 % | |
7 % mean - mu(:,i) is the mean given Q=i | |
8 % cov - Sigma(:,:,i) is the covariance given Q=i | |
9 % weights - W(:,:,i) is the regression matrix given Q=i | |
10 % cov_type - if 'diag', Sigma(:,:,i) is diagonal | |
11 % tied_cov - if 1, we constrain Sigma(:,:,i) to be the same for all i | |
12 % clamp_mean - if 1, we do not adjust mu(:,i) during learning | |
13 % clamp_cov - if 1, we do not adjust Sigma(:,:,i) during learning | |
14 % clamp_weights - if 1, we do not adjust W(:,:,i) during learning | |
15 % clamp - if 1, we do not adjust any params | |
16 % cov_prior_weight - weight given to I prior for estimating Sigma | |
17 % cov_prior_entropic - if 1, we also use an entropic prior for Sigma [0] | |
18 % | |
19 % e.g., CPD = set_params(CPD, 'mean', [0;0]) | |
20 | |
21 args = varargin; | |
22 nargs = length(args); | |
23 for i=1:2:nargs | |
24 switch args{i}, | |
25 case 'mean', CPD.mean = args{i+1}; | |
26 case 'cov', CPD.cov = args{i+1}; | |
27 case 'weights', CPD.weights = args{i+1}; | |
28 case 'cov_type', CPD.cov_type = args{i+1}; | |
29 %case 'tied_cov', CPD.tied_cov = strcmp(args{i+1}, 'yes'); | |
30 case 'tied_cov', CPD.tied_cov = args{i+1}; | |
31 case 'clamp_mean', CPD.clamped_mean = args{i+1}; | |
32 case 'clamp_cov', CPD.clamped_cov = args{i+1}; | |
33 case 'clamp_weights', CPD.clamped_weights = args{i+1}; | |
34 case 'clamp', clamp = args{i+1}; | |
35 CPD.clamped_mean = clamp; | |
36 CPD.clamped_cov = clamp; | |
37 CPD.clamped_weights = clamp; | |
38 case 'cov_prior_weight', CPD.cov_prior_weight = args{i+1}; | |
39 case 'cov_prior_entropic', CPD.cov_prior_entropic = args{i+1}; | |
40 otherwise, | |
41 error(['invalid argument name ' args{i}]); | |
42 end | |
43 end |