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, 69 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/SLP/learning/@jtree_inf_engine2/set.m b/sourcecodes/bnt-master/SLP/learning/@jtree_inf_engine2/set.m
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+% ===
+% set
+% ===
+%
+% Description :
+% -------------
+%
+% Writing method for the class' attributes. 
+% 
+% Syntax :
+% --------
+%
+% obj = set( obj, attrib_name_1, val_1, ..., attrib_name_n, val_n );
+%
+% Input(s) :
+% ----------
+%
+% obj - class inf_engine
+% An instance of the class inf_engine
+%
+% > Optionals : 'attrib_name'/value form
+% For details about the attribute's names, see the constructor
+% (inf_engine.m)
+%
+% Output(s) :
+% -----------
+%
+% obj - class inf_engine
+% The updated object
+%
+% Example(s) :
+% ------------
+%
+% obj = set( obj, 'attrib_1', val_1, ..., 'attrib_n', val_n );
+%
+% Reference(s) :
+% --------------
+%
+% See also :
+% ----------
+%
+% inf_engine
+% get
+function [ engine ] = set( engine, varargin )
+
+engine.inf_engine = set( engine.inf_engine, varargin{ : } );
+
+% Processing
+% Number of variable arguments
+nb_varargin = length( varargin );
+
+for i = 1:2:nb_varargin
+    
+    arg_i = upper( varargin{ i } );
+    val_i = varargin{ i + 1 };
+    
+    switch arg_i      
+     case upper( 'maximize' )
+      engine.maximize = val_i;
+     otherwise
+%       warning_str = [ 'inf_engine - set : attribute ' ...
+% 		      arg_i ' doesn''t exist' ];
+		      
+%       warning( warning_str );
+    end
+    
+end
+    
+% End of function
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