Mercurial > hg > camir-aes2014
comparison core/tools/machine_learning/scale_ratings.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function Y = scale_ratings(Y, max_weight) | |
2 % [Yout, Xout] = scale_ratings(Y, max_weight) | |
3 | |
4 | |
5 % get maximal weight | |
6 weights = cell2mat(Y(:,3)); | |
7 max_dataweight = max(weights); | |
8 | |
9 valid = ~(cellfun(@isempty, Y(:,1)) | cellfun(@isempty, Y(:,2))); | |
10 | |
11 % scale weights to a maximal value of max_weight | |
12 for i = 1:size(Y, 1) | |
13 if valid(i) && Y{i,3} > 0 | |
14 Y{i,3} = min(max_weight, max(1, round((Y{i,3} / max_dataweight) * max_weight))); | |
15 end | |
16 end |