comparison reproduce_AES53rd/rerun_gradient_table3/gradient_table3.m @ 0:e9a9cd732c1e tip

first hg version after svn

+% cr_: training correct
+% cr : testing correct
+feature_file = 'rel_music_raw_features+simdata_ISMIR12';
+vars = whos('-file', feature_file);
+A = load(feature_file,vars(1).name,vars(2).name,vars(3).name,vars(4).name);
+raw_features = A.(vars(1).name);
+indices      = A.(vars(2).name);
+tst_inx      = A.(vars(3).name);
+trn_inx      = A.(vars(4).name);
+% 
+% figure(1); imagesc(raw_features);colorbar;
+mod = load('res_48');
+features = logistic(raw_features*mod.W_max{1} + repmat(mod.hB_max{1},size(raw_features,1),1));
+% figure(2); imagesc(features);colorbar;
+
+num_case = size(trn_inx,1); 
+[trnd_12 trnd_13] = subspace_distances(trn_inx,features,indices,1,1);
+[tstd_12 tstd_13] = subspace_distances(tst_inx,features,indices,1,1);
+cr_ = 0;   % correct rate for training
+cr  = 0;   % correct rate for testing
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% CODE HERE                               %%
+%[Ws cr_] = gradient_ascent(trnd_12,trnd_13,0.1,0.1,0.00002); %eNum = 10
+[Ws cr_] = gradient_ascent(trnd_12,trnd_13,0.05,0.01,0.00002);
+
+for i = 1:num_case       
+ cr = cr + sum((tstd_13{i}-tstd_12{i})*Ws{i}' > 0, 1)/size(tstd_12{i},1);
+end
+cr = cr/num_case;
+%% Check the result
+fprintf('Gradient RBM Test / Train Result=%f / %f\n',cr*100,cr_*100);
+%fprintf('Training=%f Testing=%f\n',cr_,cr);