Patternnet giving only 1 answer while testing

I run this code to train network

net = patternnet(10);

net = train(net,P,T');

view(net)

y = net(P);

perf = perform(net,T,y);

classes = vec2ind(y);

and for testing:

out = sim(net,features)'

But im getting only a single answer

Answer 1

[Chinmay Budhiraja]

To my understanding, you have trained a network using patternnet but while testing the simulated response, you are getting only one answer.

Please check the size of features and see if it contains only 1 example. Also, while training, you have used T’, which is transpose of the matrix T, but while checking performance, you are comparing T and y. Usually, we pass the same matrix in both the places of size NumberOfClasses x NumberOfExamples. PFA sample code:

[x,t] = iris_dataset; 
net = patternnet(10); 
net = train(net,x,t); 
view(net) 
y = net(x); 
perf = perform(net,t,y); 
classes = vec2ind(y); 
out = sim(net, x); 

You can check patternet for more details.