www.gusucode.com > emg_functions > emg_functions/classify_offline/classifyRLDAoffline.m
%% Betthauser - 2016 -- Compute Regularized LDA accuracy from data. % INPUTS: Atrain - training data (numF x N) % trainlabels - training data labels (1 x N) % Atest - testing data (numF x P) % testlabels - testing data labels (1 x P) % regparam - regularization parameter - set to 0.9 % % OUTPUT: [predict] - RLDA predictions function [predict1] = classifyRLDAoffline(Atrain, trainlabels, Atest, regparam) LDAobj = fitcdiscr(Atrain',trainlabels,'DiscrimType','pseudolinear','Gamma',regparam); % good [predict1,~,~] = predict(LDAobj,Atest'); predict1 = predict1'; end