Mercurial > hg > camir-aes2014
view 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 |
parents | |
children |
line wrap: on
line source
function CPD = tabular_decision_node(sz, CPT) % TABULAR_DECISION_NODE Represent the randomized policy over a discrete decision/action node as a table % CPD = tabular_decision_node(sz, CPT) % % sz(1:end-1) is the sizes of the parents, sz(end) is the size of this node % By default, CPT is set to the uniform random 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'); return; elseif isa(sz, 'tabular_decision_node') % This might occur if we are copying an object. CPD = sz; return; end CPD = init_fields; if nargin < 2 CPT = mk_stochastic(myones(sz)); else CPT = myreshape(CPT, sz); end CPD.CPT = CPT; CPD.size = sz; CPD = class(CPD, 'tabular_decision_node'); %%%%%%%%%%% 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.size = [];