comparison toolboxes/FullBNT-1.0.7/KPMstats/logist2Fit.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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-1:000000000000 0:e9a9cd732c1e
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(:);