%
% :-:-:-:-:-:-:-:-:-: Up to date INFO :-:-:-:-:-:-:-:-:
%
% (27/Feb/2016) Caution! EpochLength value should be 0.2 so far because of the duration problem.
% (27/Feb/2016) Caution! This classifier uses the libsvm library on MATLAB version so you
% have to install them from official web pages to use this patch. Please
% refer to the following link about libsvm!
%
% https://www.csie.ntu.edu.tw/~cjlin/libsvm/
%
% :-:-:-:-:-:-:-:-:-: Instruction :-:-:-:-:-:-:-:-:-:
%
% main_LDAcalc(ARG_1(char), ARG_2(char), ARG_3(double), ARG_4(double), ARG_5(double), ARG_6(double));
%
% === Input ===
%
% ARG_1 directory_Training(char): File directory location which has training csv files generated by OpenViBE
% ARG_2 directory_Trial(char): File directory location which has trial csv files generated by OpenViBE
% ARG_3 EpochCount_Train(double): Epoch value for signal to train classifier
% ARG_4 EpochCount_Trial(double): Epoch value for signal to test classifier
% ARG_5 EpochAverage(double): Duration length (seconds) after the stimulus onset
% ARG_6 savePNG(double): If you want to save the result of the graph, this value should be set to 1, othewise 0
%
% === Output ===
%
% Figure: Probability of each duration versus each targets (Grid)
%
% === Example ===
%
% MATLAB > main_SVMcalc('../User/DirectoryName/Target', '../User/DirectoryName/Trial', 10, 1, 0.2, 0);
% MATLAB > main_SVMcalc('../User/DirectoryName/Target', '../User/DirectoryName/Trial', 5, 5, 0.2, 0);
%
% :-:-:-:-: (C) Takumi Kodama, University of Tsukuba, Japan :-:-:-:-: