annotate toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_decision_node/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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children
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wolffd@0 1 function CPD = tabular_decision_node(bnet, self, CPT)
wolffd@0 2 % TABULAR_DECISION_NODE Represent a stochastic policy over a discrete decision/action node as a table
wolffd@0 3 % CPD = tabular_decision_node(bnet, self, CPT)
wolffd@0 4 %
wolffd@0 5 % node is the number of a node in this equivalence class.
wolffd@0 6 % CPT is an optional argument (see tabular_CPD for details); by default, it is the uniform 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', discrete_CPD(1, []));
wolffd@0 12 return;
wolffd@0 13 elseif isa(bnet, 'tabular_decision_node')
wolffd@0 14 % This might occur if we are copying an object.
wolffd@0 15 CPD = bnet;
wolffd@0 16 return;
wolffd@0 17 end
wolffd@0 18 CPD = init_fields;
wolffd@0 19
wolffd@0 20 ns = bnet.node_sizes;
wolffd@0 21 fam = family(bnet.dag, self);
wolffd@0 22 ps = parents(bnet.dag, self);
wolffd@0 23 sz = ns(fam);
wolffd@0 24
wolffd@0 25 if nargin < 3
wolffd@0 26 CPT = mk_stochastic(myones(sz));
wolffd@0 27 else
wolffd@0 28 CPT = myreshape(CPT, sz);
wolffd@0 29 end
wolffd@0 30
wolffd@0 31 CPD.CPT = CPT;
wolffd@0 32 CPD.sizes = sz;
wolffd@0 33
wolffd@0 34 clamped = 1; % don't update using EM
wolffd@0 35 CPD = class(CPD, 'tabular_decision_node', discrete_CPD(clamped, ns([ps self])));
wolffd@0 36
wolffd@0 37 %%%%%%%%%%%
wolffd@0 38
wolffd@0 39 function CPD = init_fields()
wolffd@0 40 % This ensures we define the fields in the same order
wolffd@0 41 % no matter whether we load an object from a file,
wolffd@0 42 % or create it from scratch. (Matlab requires this.)
wolffd@0 43
wolffd@0 44 CPD.CPT = [];
wolffd@0 45 CPD.sizes = [];