📄 translatetoc.m
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% The algorithms implemented by Alexander Vezhnevets aka Vezhnick
% <a>href="mailto:vezhnick@gmail.com">vezhnick@gmail.com</a>
%
% Copyright (C) 2005, Vezhnevets Alexander
% vezhnick@gmail.com
%
% This file is part of GML Matlab Toolbox
% For conditions of distribution and use, see the accompanying License.txt file.
%
% TranslateToC Implements procedure of saving trained classifier to file,
% that can be further used in C++ programm
%~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
% code = TranslateToC (Learners, Weights, fid)
% ---------------------------------------------------------------------------------
% Arguments:
% Learners - learners of commitee
% Weights - weights of commitee
% fid - opened file id (use fopen to make one)
% Return:
% code - equals 1 if everything was alright
function code = TranslateToC (Learners, Weights, fid)
Weights = Weights ./ (sum(abs(Weights)));
fprintf(fid, ' %d\r\n ', length(Weights));
for i = 1 : length(Weights)
Curr_Result = get_dim_and_tr(Learners{i});
fprintf(fid, ' %f ', Weights(i));
fprintf(fid, ' %d ', length(Curr_Result) / 3);
for j = 1 : length(Curr_Result)
fprintf(fid, ' %f ', Curr_Result(j));
end
fprintf(fid, '\r\n');
end
code = 1;
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