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, 70 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/axis_pct.m b/sourcecodes/bnt-master/KPMtools/axis_pct.m
new file mode 100644
index 00000000..208481eb
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/axis_pct.m
@@ -0,0 +1,70 @@
+function ax = axis_pct(pct)
+% AXIS_PCT       Set reasonable axis limits.
+% AXIS_PCT(pct) sets axis limits to extend pct% beyond limits of plotted 
+% objects.  Default is 5%.
+% Works for linear or log scale.
+% Unfortunately, the axes won't change when new points are plotted.
+
+if nargin < 1
+  pct = 0.05;
+end
+ax = [Inf -Inf Inf -Inf Inf -Inf];
+
+% find bounding box of plotted objects
+children = get(gca,'children');
+for child = children'
+  if strcmp(get(child,'type'),'text')
+    xyz = get(child,'position');
+    % need to determine bounding box of the text
+    c([1 2]) = xyz(1);
+    c([3 4]) = xyz(2);
+    c([5 6]) = xyz(3);
+  else
+    x = get(child,'xdata');
+    c(1) = min(x);
+    c(2) = max(x);
+    y = get(child,'ydata');
+    c(3) = min(y);
+    c(4) = max(y);
+    z = get(child,'zdata');
+    if isempty(z)
+      c([5 6]) = 0;
+    else
+      c(5) = min(z);
+      c(6) = max(z);
+    end
+  end
+  ax([1 3 5]) = min(ax([1 3 5]), c([1 3 5]));
+  ax([2 4 6]) = max(ax([2 4 6]), c([2 4 6]));
+end
+if strcmp(get(gca,'xscale'), 'log')
+  ax([1 2]) = log(ax([1 2]));
+end
+if strcmp(get(gca,'yscale'), 'log')
+  ax([3 4]) = log(ax([3 4]));
+end
+dx = ax(2)-ax(1);
+if dx == 0
+  dx = 1;
+end
+dy = ax(4)-ax(3);
+if dy == 0
+  dy = 1;
+end
+dz = ax(6)-ax(5);
+if dz == 0
+  dz = 1;
+end
+ax = ax + [-dx dx -dy dy -dz dz]*pct;
+if strcmp(get(gca,'xscale'), 'log')
+  ax([1 2]) = exp(ax([1 2]));
+end
+if strcmp(get(gca,'yscale'), 'log')
+  ax([3 4]) = exp(ax([3 4]));
+end
+% clip for 2D
+ax = ax(1:length(axis));
+axis(ax);
+if nargout < 1
+  clear ax
+end