annotate 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
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function CPD = tabular_decision_node(sz, CPT)
wolffd@0 2 % TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table
wolffd@0 3 % CPD = tabular_decision_node(sz, CPT)
wolffd@0 4 %
wolffd@0 5 % sz(1:end-1) is the sizes of the parents, sz(end) is the size of this node
wolffd@0 6 % By default, CPT is set to the uniform random policy
wolffd@0 7
wolffd@0 8 if nargin==0
wolffd@0 9 % This occurs if we are trying to load an object from a file.
wolffd@0 10 CPD = init_fields;
wolffd@0 11 CPD = class(CPD, 'tabular_decision_node');
wolffd@0 12 return;
wolffd@0 13 elseif isa(sz, 'tabular_decision_node')
wolffd@0 14 % This might occur if we are copying an object.
wolffd@0 15 CPD = sz;
wolffd@0 16 return;
wolffd@0 17 end
wolffd@0 18 CPD = init_fields;
wolffd@0 19
wolffd@0 20 if nargin < 2
wolffd@0 21 CPT = mk_stochastic(myones(sz));
wolffd@0 22 else
wolffd@0 23 CPT = myreshape(CPT, sz);
wolffd@0 24 end
wolffd@0 25
wolffd@0 26 CPD.CPT = CPT;
wolffd@0 27 CPD.size = sz;
wolffd@0 28
wolffd@0 29 CPD = class(CPD, 'tabular_decision_node');
wolffd@0 30
wolffd@0 31 %%%%%%%%%%%
wolffd@0 32
wolffd@0 33 function CPD = init_fields()
wolffd@0 34 % This ensures we define the fields in the same order
wolffd@0 35 % no matter whether we load an object from a file,
wolffd@0 36 % or create it from scratch. (Matlab requires this.)
wolffd@0 37
wolffd@0 38 CPD.CPT = [];
wolffd@0 39 CPD.size = [];