BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 99 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/GraphViz/draw_dbn.m b/sourcecodes/bnt-master/GraphViz/draw_dbn.m
new file mode 100644
index 00000000..89bf2b13
--- /dev/null
+++ b/sourcecodes/bnt-master/GraphViz/draw_dbn.m
@@ -0,0 +1,99 @@
+function [x, y, h] = draw_dbn(adj, inter, flip_intra, K, labels, node_t, x, y)
+% DRAW_LAYOUT_DBN		Draws a layout for a Dynamical Belief Network
+%
+%  [<X1, Y1, X2, Y2>] = DRAW_LAYOUT_DBN(INTRA, INTER, <FLIP_FLAG, K, LABELS, ISBOX, X1, Y1>)
+%
+% Inputs :
+%	INTRA, INTER : Adjacency matrices
+%       FLIP_FLAG : Transposes the DAG layout obtained from INTRA connections
+%                   If X1, Y1 are specified, FLIP_FLAG has no effect.
+%       K         : Unfold K times <Default = 2>
+%       LABELS - if -1, we use 1:N*K
+%       Rest : See DRAW_LAYOUT      
+% 
+% Outputs :
+%	 Xi, Yi : Coordinates of nodes (for i'th timeslice) on the unit square
+%        H      : Object Handles
+%
+% Usage Example : draw_layout_dbn(intra, inter, 1);
+%                 draw_layout_dbn(intra, inter);
+%
+% Note	:
+% See also DRAW_GRAPH
+
+% Uses : DRAW_GRAPH
+
+% Change History :
+% Date		Time		Prog	Note
+% 17-Apr-2000	 1:02 PM	ATC	Created under MATLAB 5.3.1.29215a (R11.1)
+
+% ATC = Ali Taylan Cemgil,
+% SNN - University of Nijmegen, Department of Medical Physics and Biophysics
+% e-mail : cemgil@mbfys.kun.nl 
+
+N = size(adj,1);
+if nargin<3, 
+  flip_intra = 0;
+end;
+
+if nargin<4,
+  K = 2;
+end;
+
+if K<2 | K>7, error('2<=K<=7 must hold..'); end;
+
+
+if nargin<5 
+%  labels = cellstr(char(zeros(N,1)+double('+')));
+%  labels = cellstr(int2str((1:N)'));
+    labels = cellstr(char((0:N-1)'+double('a')));
+end;
+
+if nargin<6,
+  node_t = zeros(N,1);
+%  node_t = rand(N,1) > 0.5;
+end;
+
+if nargin<7,
+  [x1 y1] = make_layout(adj);
+  if flip_intra, tmp = x1; x1 = y1; y1 = tmp; end;
+end;
+
+mid = round(K/2);
+
+
+xi = x1(:)-1;
+x = [];
+y = repmat(y1(:), [K 1]);
+node_t2 = repmat(node_t(:), [K 1]);
+
+if isa(labels,'double') & labels==-1 % KPM
+  lb = num2strcell(1:N*K);
+else
+  lb = {};
+  for i=1:K,
+    labels1 = labels(:);
+    if i==mid,     str = ''; else str = sprintf('%+d',i-mid); end;
+    for i=1:N,
+      labels1{i} = [labels1{i} '(t' str ')'];  
+    end;
+    lb = [lb; labels1(:)];
+  end;
+end
+
+dag = zeros(N*K);
+
+for i=1:K,
+  xi = xi+1;
+  x = [x; xi];
+
+  idx = ((i-1)*N+1):i*N;
+  dag(idx,idx) = adj;
+  if i<K,
+    dag(idx,idx+N) = inter;
+  end;
+end;
+
+[x, y, h] = draw_graph(dag, lb, node_t2, x/K, y);
+
+