Mercurial > hg > camir-aes2014
annotate toolboxes/distance_learning/mlr/metricPsi/metricPsiMRR.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
parents | |
children |
rev | line source |
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wolffd@0 | 1 function S = metricPsiMRR(q, y, n, pos, neg) |
wolffd@0 | 2 % |
wolffd@0 | 3 % S = metricPsiMRR(q, y, n, d, pos, neg) |
wolffd@0 | 4 % |
wolffd@0 | 5 % q = index of the query point |
wolffd@0 | 6 % y = the ordering to compute |
wolffd@0 | 7 % n = number of points in the data set |
wolffd@0 | 8 % pos = indices of relevant results for q |
wolffd@0 | 9 % neg = indices of irrelevant results for q |
wolffd@0 | 10 % |
wolffd@0 | 11 % S is the vector of weights for q |
wolffd@0 | 12 |
wolffd@0 | 13 yp = ismember(y, pos); |
wolffd@0 | 14 % Truncate yp after the first 1 |
wolffd@0 | 15 yp(find(yp,1)+1:end) = 0; |
wolffd@0 | 16 NumPOS = sum(yp); |
wolffd@0 | 17 PosAfter = NumPOS - cumsum(yp); |
wolffd@0 | 18 |
wolffd@0 | 19 yn = ~yp; |
wolffd@0 | 20 NumNEG = sum(yn); |
wolffd@0 | 21 NegBefore = cumsum(yn) - yn; |
wolffd@0 | 22 |
wolffd@0 | 23 S = zeros(n,1); |
wolffd@0 | 24 |
wolffd@0 | 25 S(y) = 2 * (yp .* NegBefore - yn .* PosAfter) / (NumNEG * NumPOS); |
wolffd@0 | 26 |
wolffd@0 | 27 end |