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, 19 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/set_fields.m b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/set_fields.m
new file mode 100644
index 00000000..4fe62292
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/CPDs/@tabular_decision_node/set_fields.m
@@ -0,0 +1,19 @@
+function CPD = set_params(CPD, varargin)
+% SET_PARAMS Set the parameters (fields) for a tabular_decision_node object
+% CPD = set_params(CPD, name/value pairs)
+%
+% The following optional arguments can be specified in the form of name/value pairs:
+%
+% policy - the table containing the policy
+%
+% e.g., CPD = set_params(CPD, 'policy', T)
+
+args = varargin;
+nargs = length(args);
+for i=1:2:nargs
+  switch args{i},
+   case 'policy',   CPD.CPT = args{i+1};
+   otherwise,
+    error(['invalid argument name ' args{i}]);
+  end
+end