diff core/magnatagatune/sim_from_comparison_attach_weights.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/core/magnatagatune/sim_from_comparison_attach_weights.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,97 @@
+function  sim_from_comparison_attach_weights(filen)
+
+global comparison;
+global comparison_ids;
+% load data from mat file
+load(filen);
+
+% ---
+% get the similarity multigraph and remove cycles
+% ---
+cprint(2, 'creating graph')
+Gm = ClipSimGraphMulti(comparison, comparison_ids);
+Gm.remove_cycles_length2; 
+
+nTestSets = size(partBinTst, 2); % num cv bins
+ntrainsizes = size(partBinTrn, 2); % num increases of training
+
+% ---
+% test sets
+% ---
+cprint(2, 'doing test sets')
+
+% for all validations 
+for k = 1:size(partBinTst, 2);
+    
+    % for each constraint tiplet
+    for i = 1:size(partBinTst{k},1)
+        
+        % get weight for this edge from graph
+        [weight, ~, ~] = Gm.edge(partBinTst{k}(i,1), partBinTst{k}(i,2),...
+            partBinTst{k}(i,3));
+            
+            if isempty(weight) || weight == 0
+                error 'inconsistent similarity data';
+            end
+        
+        % save into same data structure
+        partBinTst{k}(i,4) = weight;
+    end
+end
+
+% ---
+% train sets
+% ---
+
+cprint(2, 'doing train sets')
+% for all validations 
+for k = 1:size(partBinTrn, 1);
+    
+    % for all training sizes
+    for m = 1:size(partBinTrn, 2);
+        
+        % for each constraint tiplet
+        for i = 1:size(partBinTrn{k,m},1)
+
+            % get weight for this edge from graph
+            [weight, ~, ~] = Gm.edge(partBinTrn{k,m}(i,1), partBinTrn{k,m}(i,2),...
+                partBinTrn{k,m}(i,3));
+            
+            if isempty(weight) || weight == 0
+                error 'inconsistent similarity data';
+            end
+            
+            % save into same data structure
+            partBinTrn{k,m}(i,4) = weight;
+        end
+    end
+end
+
+% ---
+% Notrain sets
+% ---
+cprint(2, 'doing Notrain sets')
+% for all validations 
+for k = 1:size(partBinNoTrn, 1);
+    
+    % for all training sizes
+    for m = 1:size(partBinNoTrn, 2);
+        
+        % for each constraint tiplet
+        for i = 1:size(partBinNoTrn{k,m},1)
+
+            % get weight for this edge from graph
+            [weight, ~, ~] = Gm.edge(partBinNoTrn{k,m}(i,1), partBinNoTrn{k,m}(i,2),...
+                partBinNoTrn{k,m}(i,3));
+            
+            if isempty(weight) || weight == 0
+                error 'inconsistent similarity data';
+            end
+            % save into same data structure
+            partBinNoTrn{k,m}(i,4) = weight;
+        end
+    end
+end
+
+% save results to mat file
+save(sprintf('%s_weighted.mat',filen), 'partBinTst', 'partBinTrn', 'partBinNoTrn');