diff toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_decision_node/tabular_decision_node.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_decision_node/tabular_decision_node.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,45 @@
+function CPD = tabular_decision_node(bnet, self, CPT)
+% TABULAR_DECISION_NODE Represent a stochastic policy over a discrete decision/action node as a table
+% CPD = tabular_decision_node(bnet, self, CPT)
+%
+% node is the number of a node in this equivalence class.
+% CPT is an optional argument (see tabular_CPD for details); by default, it is the uniform policy.
+
+if nargin==0
+  % This occurs if we are trying to load an object from a file.
+  CPD = init_fields;
+  CPD = class(CPD, 'tabular_decision_node', discrete_CPD(1, []));
+  return;
+elseif isa(bnet, 'tabular_decision_node')
+  % This might occur if we are copying an object.
+  CPD = bnet;
+  return;
+end
+CPD = init_fields;
+
+ns = bnet.node_sizes;
+fam = family(bnet.dag, self);
+ps = parents(bnet.dag, self);
+sz = ns(fam);
+
+if nargin < 3
+  CPT = mk_stochastic(myones(sz)); 
+else
+  CPT = myreshape(CPT, sz);
+end
+
+CPD.CPT = CPT;
+CPD.sizes = sz; 
+
+clamped = 1; % don't update using EM
+CPD = class(CPD, 'tabular_decision_node', discrete_CPD(clamped, ns([ps self])));
+
+%%%%%%%%%%%
+
+function CPD = init_fields()
+% This ensures we define the fields in the same order 
+% no matter whether we load an object from a file,
+% or create it from scratch. (Matlab requires this.)
+
+CPD.CPT = [];
+CPD.sizes = [];