Im using this library

http://pastebin.com/raw.php?i=aMtVv4RZ

to implement a learning agent.

I have generated the train cases, but i dont know for sure what are the validation and test sets, the teacher says:

70% should be train cases, 10% will be test cases and the rest 20% should be validation cases.

Thanks.

edit

i have this code, for training.. but i have no ideia when to stop training..

  def train(self, train, validation, N=0.3, M=0.1):
    # N: learning rate
    # M: momentum factor
    accuracy = list()
    while(True):
        error = 0.0
        for p in train:
            input, target = p
            self.update(input)
            error = error + self.backPropagate(target, N, M)
        print "validation"
        total = 0
        for p in validation:
            input, target = p
            output = self.update(input)
            total += sum([abs(target - output) for target, output in zip(target, output)]) #calculates sum of absolute diference between target and output

        accuracy.append(total)
        print min(accuracy)
        print sum(accuracy[-5:])/5
        #if i % 100 == 0:
        print 'error %-14f' % error
        if ? < ?:
            break