64 lines
1.8 KiB
Matlab
64 lines
1.8 KiB
Matlab
function nnupdatefigures(nn,fhandle,L,opts,i)
|
|
%NNUPDATEFIGURES updates figures during training
|
|
if i > 1 %dont plot first point, its only a point
|
|
x_ax = 1:i;
|
|
% create legend
|
|
if opts.validation == 1
|
|
M = {'Training','Validation'};
|
|
else
|
|
M = {'Training'};
|
|
end
|
|
|
|
%create data for plots
|
|
if strcmp(nn.output,'softmax')
|
|
plot_x = x_ax';
|
|
plot_ye = L.train.e';
|
|
plot_yfrac = L.train.e_frac';
|
|
|
|
else
|
|
plot_x = x_ax';
|
|
plot_ye = L.train.e';
|
|
end
|
|
|
|
%add error on validation data if present
|
|
if opts.validation == 1
|
|
plot_x = [plot_x, x_ax'];
|
|
plot_ye = [plot_ye,L.val.e'];
|
|
end
|
|
|
|
|
|
%add classification error on validation data if present
|
|
if opts.validation == 1 && strcmp(nn.output,'softmax')
|
|
plot_yfrac = [plot_yfrac, L.val.e_frac'];
|
|
end
|
|
|
|
% plotting
|
|
figure(fhandle);
|
|
if strcmp(nn.output,'softmax') %also plot classification error
|
|
|
|
p1 = subplot(1,2,1);
|
|
plot(plot_x,plot_ye);
|
|
xlabel('Number of epochs'); ylabel('Error');title('Error');
|
|
title('Error')
|
|
legend(p1, M,'Location','NorthEast');
|
|
set(p1, 'Xlim',[0,opts.numepochs + 1])
|
|
|
|
p2 = subplot(1,2,2);
|
|
plot(plot_x,plot_yfrac);
|
|
xlabel('Number of epochs'); ylabel('Misclassification rate');
|
|
title('Misclassification rate')
|
|
legend(p2, M,'Location','NorthEast');
|
|
set(p2, 'Xlim',[0,opts.numepochs + 1])
|
|
|
|
else
|
|
|
|
p = plot(plot_x,plot_ye);
|
|
xlabel('Number of epochs'); ylabel('Error');title('Error');
|
|
legend(p, M,'Location','NorthEast');
|
|
set(gca, 'Xlim',[0,opts.numepochs + 1])
|
|
|
|
end
|
|
drawnow;
|
|
end
|
|
end
|