Re: HW 2 Problem 6
I am confused here , I don't understand what is final hypothesis here.
There are 1000 target function and corresponding 1000 weight vectors/hypothesis in problem 5 .
So for problem 6 , 1000 times I generate 1000 outofsample data and then for each weight vector and target function(from problem 5) I evaluate E_out for that outofsample data and finally average them. This is how I have done.
I don't see final hypothesis here , what I am missing , any hint
Could it be that in problem 5 there is supposed to be only one target function and many insample data ? If so then the final hypothesis/weights could be that produces minimum insample error E_in .
Please clarify.
Thanks a lot.
