annotate toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_CPD/learn_params.m @ 0:cc4b1211e677
tip
initial commit to HG from
Changeset:
646 (e263d8a21543) added further path and more save "camirversion.m"
| author |
Daniel Wolff |
| date |
Fri, 19 Aug 2016 13:07:06 +0200 |
| parents |
|
| children |
|
| rev |
line source |
|
Daniel@0
|
1 function CPD = learn_params(CPD, fam, data, ns, cnodes)
|
|
Daniel@0
|
2 %function CPD = learn_params(CPD, local_data)
|
|
Daniel@0
|
3 % LEARN_PARAMS Compute the ML/MAP estimate of the params of a tabular CPD given complete data
|
|
Daniel@0
|
4 % CPD = learn_params(CPD, local_data)
|
|
Daniel@0
|
5 %
|
|
Daniel@0
|
6 % local_data(i,m) is the value of i'th family member in case m (can be cell array).
|
|
Daniel@0
|
7
|
|
Daniel@0
|
8 local_data = data(fam, :);
|
|
Daniel@0
|
9 if iscell(local_data)
|
|
Daniel@0
|
10 local_data = cell2num(local_data);
|
|
Daniel@0
|
11 end
|
|
Daniel@0
|
12 counts = compute_counts(local_data, CPD.sizes);
|
|
Daniel@0
|
13 switch CPD.prior_type
|
|
Daniel@0
|
14 case 'none', CPD.CPT = mk_stochastic(counts);
|
|
Daniel@0
|
15 case 'dirichlet', CPD.CPT = mk_stochastic(counts + CPD.dirichlet);
|
|
Daniel@0
|
16 otherwise, error(['unrecognized prior ' CPD.prior_type])
|
|
Daniel@0
|
17 end
|
