comparison core/magnatagatune/ranking_from_comparison_Stober_diffs.m @ 0:e9a9cd732c1e tip

first hg version after svn

+function [r, valididx, clip_ids, P] = ranking_from_comparison_Stober_diffs(nDatasets, nRuns)
+
+global globalvars;
+global comparison;
+global comparison_ids;
+
+% ---
+% get the standard test set
+% NOTE: we will keep the r and valididx, and just use
+% the rest of the data for determining the issing edges etc
+% ---
+load('comp_SimGraphMulti_SimDataDump', 'G', 'r', 'valididx', 'clip_ids');
+nData = sum(valididx > 0);
+
+% ---
+% initialise the new partition
+% ---
+P = cvpartition_alltrain(nData, nDatasets * nRuns);
+
+
+for i = 1:nDatasets
+    
+    % ---
+    % create new Stober graph
+    % ---
+    Gstob = ClipSimGraphStober();
+    Gstob.random_all_constraints_graph;
+    Gdiff = G - ClipSimGraphMulti(Gstob.to_DiGraph());
+    
+    % ---
+    % get missing entries in stober similarity
+    % ---
+    idx = find_graph_in_valid(r, comparison_ids(clip_ids),valididx, Gdiff);
+    lostData = sum(idx);
+    if lostData ~= Gdiff.num_edges
+        error ('Inconsistent Data: edges in gdiff could not be found');
+    end
+
+    % ---
+    % save entries in DataPartition (remove from valid sets)
+    % NOTE: this is manhual intervention into Class territory :(
+    % ---
+    for j = 1:nRuns
+        jd = j + (i-1) * nRuns;
+        P.mtraining{jd} = ones(P.N, 1) - idx(valididx)';
+        P.mtest{jd} = ones(P.N, 1) - idx(valididx)';
+        P.TrainSize(jd) = P.N - lostData;
+        P.TestSize(jd) = P.N - lostData;
+    end
+end
+end
+
+% ---
+%  This finds all graphs edges in the ranking
+% ---
+function idx = find_graph_in_valid(r, clip_ids, valididx, G)
+
+    idx = zeros(1,size(r,1));
+    for i = find(valididx)
+        
+        a = clip_ids(i);
+        b = clip_ids(r{i,1});
+        c = clip_ids(r{i,2});
+        if G.edge(a,b,c) > 0
+            idx(i) = 1;
+        end
+    end
+end
+