camir-aes2014: toolboxes/FullBNT-1.0.7/bnt/CPDs/@tree_CPD/tree

first hg version after svn

rev	line source
wolffd@0	1 function CPD = tree_CPD(varargin)
wolffd@0	2 %DTREE_CPD Make a conditional prob. distrib. which is a decision/regression tree.
wolffd@0	3 %
wolffd@0	4 % CPD =dtree_CPD() will create an empty tree.
wolffd@0	5
wolffd@0	6 if nargin==0
wolffd@0	7 % This occurs if we are trying to load an object from a file.
wolffd@0	8 CPD = init_fields;
wolffd@0	9 clamp = 0;
wolffd@0	10 CPD = class(CPD, 'tree_CPD', discrete_CPD(clamp, []));
wolffd@0	11 return;
wolffd@0	12 elseif isa(varargin{1}, 'tree_CPD')
wolffd@0	13 % This might occur if we are copying an object.
wolffd@0	14 CPD = varargin{1};
wolffd@0	15 return;
wolffd@0	16 end
wolffd@0	17
wolffd@0	18 CPD = init_fields;
wolffd@0	19
wolffd@0	20
wolffd@0	21 clamped = 0;
wolffd@0	22 fam_sz = [];
wolffd@0	23 CPD = class(CPD, 'tree_CPD', discrete_CPD(clamped, fam_sz));
wolffd@0	24
wolffd@0	25
wolffd@0	26 %%%%%%%%%%%
wolffd@0	27
wolffd@0	28 function CPD = init_fields()
wolffd@0	29 % This ensures we define the fields in the same order
wolffd@0	30 % no matter whether we load an object from a file,
wolffd@0	31 % or create it from scratch. (Matlab requires this.)
wolffd@0	32
wolffd@0	33 %init the decision tree set the root to null
wolffd@0	34 CPD.tree.num_node = 0;
wolffd@0	35 CPD.tree.root=1;
wolffd@0	36 CPD.tree.nodes=[];
wolffd@0	37

Mercurial > hg > camir-aes2014