annotate toolboxes/FullBNT-1.0.7/KPMstats/mixgauss_classifier_apply.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function [classHatTest, probPos] = mixgauss_classifier_apply(mixgauss, testFeatures)
wolffd@0 2
wolffd@0 3 Bpos = mixgauss_prob(testFeatures, mixgauss.pos.mu, mixgauss.pos.Sigma, mixgauss.pos.prior);
wolffd@0 4 Bneg = mixgauss_prob(testFeatures, mixgauss.neg.mu, mixgauss.neg.Sigma, mixgauss.neg.prior);
wolffd@0 5 prior_pos = mixgauss.priorC(1);
wolffd@0 6 prior_neg = mixgauss.priorC(2);
wolffd@0 7 post = normalize([Bpos * prior_pos; Bneg * prior_neg], 1);
wolffd@0 8 probPos = post(1,:)';
wolffd@0 9 [junk, classHatTest] = max(post);
wolffd@0 10 classHatTest(find(classHatTest==2))=0;
wolffd@0 11 classHatTest = classHatTest(:);