comparison toolboxes/RBM/gen_evaluate.m @ 0:e9a9cd732c1e tip

first hg version after svn

+function [ output_args ] = gen_evaluate( data,label,WW,Classes)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% generative classification                                          %   
+% WW = [W visB hidB]                                                 %
+% mW: mask of connections                                            %
+% -*-sontran2012-*-                                                  %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Loading data & label
+assert(size(data,1) == size(label,1),'[KRBM-GEN] Number of data and label mismatch'); 
+lNum = size(Classes);
+%% Loading structure
+[total visNum]= size(data);
+sNum = 500;                                                              % fix
+bNum  = ceil(total/sNum);                                                % divide the testing samples to batches of sNum
+%% Classifying
+count = 0;
+for i=1:bNum
+    % Find the position of softmax unit which make lowest free energy
+    L = lowest_fenergy(data((i-1)*sNum + 1:i*sNum,:),WW,lNum,Classes);
+    count = count + sum(L==label((i-1)*sNum + 1:i*sNum));
+end
+L = lowest_fenergy(data(bNum*sNum + 1:total,:),WW,Classes);
+count = count + sum(L==label(bNum*sNum + 1:total));
+fprintf('Correct rate: %f (%d/%d)',count/total,count,total;
+clear A vars data lNum sNum bNum out;
+end
+