I saw that it is possible to use PARFOR function instead of FOR to make calculs in parallel and then to save time.
That is only possible if the iterations of your for-loop iterations are independent of each other, i.e., the order in which the iterations are executed doesn't affect the result. This doesn't appear to be the case in your code, however, because at the beginning of each iteration, the values of Xval , Xcal, Xfb120, Xpred depend on the outcomes of previous loop iterations.
And then I have : "Error: The variable erreur in a parfor cannot be classified."
Assuming you can solve the above problem, a PARFOR loop must be structured so that all variables referenced in the loop obey these rules:
You can reorganize your calculations of erreur to meet these rules by introducing a temporary variable, tmp.
erreur=nan(m,7); %PREALLOCATE
parfor i=1:m;
...
tmp(1) = valid.rmsec(LV); %rmsec
tmp(2) = valid.rmsep(LV); %rmsev
tmp(3) = valid120.rmsep(LV); %rmsep
tmp(4) = valid.r2c(LV); %r2c
tmp(5) = valid.r2p(LV); %r2v
tmp(6) = valid120.r2p(LV); %r2p
tmp(7) = (max(Yval)-min(Yval))/tmp(2);
erreur(i,:) = tmp;
....
end
end
end
