Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/KPMstats/logist2Fit.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 [beta, p] = logist2Fit(y, x, addOne, w) | |
2 % LOGIST2FIT 2 class logsitic classification | |
3 % function beta = logist2Fit(y,x, addOne) | |
4 % | |
5 % y(i) = 0/1 | |
6 % x(:,i) = i'th input - we optionally append 1s to last dimension | |
7 % w(i) = optional weight | |
8 % | |
9 % beta(j)- regression coefficient | |
10 | |
11 if nargin < 3, addOne = 1; end | |
12 if nargin < 4, w = 1; end | |
13 | |
14 Ncases = size(x,2); | |
15 if Ncases ~= length(y) | |
16 error(sprintf('size of data = %dx%d, size of labels=%d', size(x,1), size(x,2), length(y))) | |
17 end | |
18 if addOne | |
19 x = [x; ones(1,Ncases)]; | |
20 end | |
21 [beta, p] = logist2(y(:), x', w(:)); | |
22 beta = beta(:); |