[valse.git] / reports / bazar_Emilie / resultatSousEns.m

ind=indiceLassoMLE([2,3,4,160,165])
cpt=0;
for L2=ind
    cpt = cpt+1
%    figure(L2)
%    hold on
%    for r=1:max(b(:,L2))
%        subplot(2,ceil(max(b(:,L2))/2),r)
%        plot(X2Final(:,b(:,L2)==r),c(r))
%     end
%     hold off
    figure(1)
    subplot(2,3,cpt)
    hold on
    for r=1:max(b(:,L2))
        plot([mean(X2Final(:,b(:,L2)==r),2);mean(Y2Final(:,(b(:,L2)==r)),2)],c(r))
        title('signal moyen de chaque classe, pour chaque modele')
    end
    hold off
    
end
Commit	Line	Data
	1	ind=indiceLassoMLE([2,3,4,160,165])
	2	cpt=0;
	3	for L2=ind
	4	cpt = cpt+1
	5	% figure(L2)
	6	% hold on
	7	% for r=1:max(b(:,L2))
	8	% subplot(2,ceil(max(b(:,L2))/2),r)
	9	% plot(X2Final(:,b(:,L2)==r),c(r))
	10	% end
	11	% hold off
	12	figure(1)
	13	subplot(2,3,cpt)
	14	hold on
	15	for r=1:max(b(:,L2))
	16	plot([mean(X2Final(:,b(:,L2)==r),2);mean(Y2Final(:,(b(:,L2)==r)),2)],c(r))
	17	title('signal moyen de chaque classe, pour chaque modele')
	18	end
	19	hold off
	20
	21	end