Mercurial > hg > camir-aes2014
view core/tools/machine_learning/mlr_repeat_YX_by_rating.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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function [Yout, Xout] = mlr_repeat_YX_by_rating(Y, X, weights) % [Yout, Xout] = mlr_repeat_YX_by_rating(Y, X, weights) % % repeats the data in X and Y according to the weights specified % in weights or Y(:,3) cprint(2, 'Repeating data for weighted learning'); if nargin == 2 weights = cell2mat(Y(:,3)); end Yout = Y(:,1:2); valid = ~(cellfun(@isempty, Y(:,1)) | cellfun(@isempty, Y(:,2))); for i = 1:size(Y, 1) if valid(i) for j = 2:weights(i) Yout(end + 1, :) = Y(i, 1:2); end end end Xout = zeros(size(X,1), size(Y,1)); Xout(:,1:size(X,2)) = X; for i = 1:size(Y, 1) if valid(i) for j = 2:weights(i) Xout(:,end+1) = X(:,i); end end end