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

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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function [beta, p] = logist2Fit(y, x, addOne, w)
wolffd@0 2 % LOGIST2FIT 2 class logsitic classification
wolffd@0 3 % function beta = logist2Fit(y,x, addOne)
wolffd@0 4 %
wolffd@0 5 % y(i) = 0/1
wolffd@0 6 % x(:,i) = i'th input - we optionally append 1s to last dimension
wolffd@0 7 % w(i) = optional weight
wolffd@0 8 %
wolffd@0 9 % beta(j)- regression coefficient
wolffd@0 10
wolffd@0 11 if nargin < 3, addOne = 1; end
wolffd@0 12 if nargin < 4, w = 1; end
wolffd@0 13
wolffd@0 14 Ncases = size(x,2);
wolffd@0 15 if Ncases ~= length(y)
wolffd@0 16 error(sprintf('size of data = %dx%d, size of labels=%d', size(x,1), size(x,2), length(y)))
wolffd@0 17 end
wolffd@0 18 if addOne
wolffd@0 19 x = [x; ones(1,Ncases)];
wolffd@0 20 end
wolffd@0 21 [beta, p] = logist2(y(:), x', w(:));
wolffd@0 22 beta = beta(:);