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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/KPMstats/logist2Apply.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
Diffstat (limited to 'sourcecodes/bnt-master/KPMstats/logist2Apply.m')
-rw-r--r--sourcecodes/bnt-master/KPMstats/logist2Apply.m13
1 files changed, 13 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/KPMstats/logist2Apply.m b/sourcecodes/bnt-master/KPMstats/logist2Apply.m
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+++ b/sourcecodes/bnt-master/KPMstats/logist2Apply.m
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+function p = logist2Apply(beta, x)
+% LOGIST2APPLY 2 class logistic regression: compute posterior prob of class 1
+% function p = logist2Apply(beta, x)
+%
+% x(:,i) - each COLUMN is a test case; we append 1s automatically, if appropriate
+
+[D Ncases] = size(x);
+if length(beta)==D+1
+  F = [x; ones(1,Ncases)];
+else
+  F = x;
+end
+p = 1./(1+exp(-beta(:)'*F));