Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_decision_node/Old/tabular_decision_node.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 = tabular_decision_node(sz, CPT) | |
2 % TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table | |
3 % CPD = tabular_decision_node(sz, CPT) | |
4 % | |
5 % sz(1:end-1) is the sizes of the parents, sz(end) is the size of this node | |
6 % By default, CPT is set to the uniform random policy | |
7 | |
8 if nargin==0 | |
9 % This occurs if we are trying to load an object from a file. | |
10 CPD = init_fields; | |
11 CPD = class(CPD, 'tabular_decision_node'); | |
12 return; | |
13 elseif isa(sz, 'tabular_decision_node') | |
14 % This might occur if we are copying an object. | |
15 CPD = sz; | |
16 return; | |
17 end | |
18 CPD = init_fields; | |
19 | |
20 if nargin < 2 | |
21 CPT = mk_stochastic(myones(sz)); | |
22 else | |
23 CPT = myreshape(CPT, sz); | |
24 end | |
25 | |
26 CPD.CPT = CPT; | |
27 CPD.size = sz; | |
28 | |
29 CPD = class(CPD, 'tabular_decision_node'); | |
30 | |
31 %%%%%%%%%%% | |
32 | |
33 function CPD = init_fields() | |
34 % This ensures we define the fields in the same order | |
35 % no matter whether we load an object from a file, | |
36 % or create it from scratch. (Matlab requires this.) | |
37 | |
38 CPD.CPT = []; | |
39 CPD.size = []; |