comparison toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_kernel/Old/tabular_kernel.m @ 0:e9a9cd732c1e tip

first hg version after svn

+function K = tabular_kernel(fg, self)
+% TABULAR_KERNEL Make a table-based local kernel (discrete potential)
+% K = tabular_kernel(fg, self)
+%
+% fg is a factor graph
+% self is the number of a representative domain
+%
+% Use 'set_params_kernel' to adjust the following fields
+%   table - a q[1]xq[2]x... array, where q[i] is the number of values for i'th node
+%       in this domain [default: random values from [0,1], which need not sum to 1]
+
+
+if nargin==0
+  % This occurs if we are trying to load an object from a file.
+  K = init_fields;
+  K = class(K, 'tabular_kernel');
+  return;
+elseif isa(fg, 'tabular_kernel')
+  % This might occur if we are copying an object.
+  K = fg;
+  return;
+end
+K = init_fields;
+
+ns = fg.node_sizes;
+dom = fg.doms{self};
+% we don't store the actual domain since it may vary due to parameter tieing
+K.sz = ns(dom);
+K.table = myrand(K.sz);
+
+K = class(K, 'tabular_kernel');
+
+
+%%%%%%%
+
+
+function K = 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.)
+
+K.table = [];
+K.sz = [];
+
+