I want to make a little project and I want to use neural networks with python. I found that pybrain is the best solution. But until now, all the examples and questions I have found, cannot help me.
I have a sequence of numbers. Hundreds of rows. Some values are missing and instead of a number, there is an "x".
and so on. This is just an example. Not my sequence.
I thought to read one by one the values and train my neural net and when I find one 'x' I will predict the number and I will continue training it with the following numbers.
What I have found until now are training like this one
with some inputs and some outputs.
Any advice on how can I continue with it?
Edit: I figure something and I would like to receive feedback because I don't know if it is right.
I still have the string for above. I split it in a list so I have a list where each entity is a number.
for ind in range(len(myList)):
if not myList[ind] == "x" and not myList[ind+1]=="x":
net = FeedForwardNetwork()
inp = LinearLayer(1)
h1 = SigmoidLayer(1)
outp = LinearLayer(1)
trainer = BackpropTrainer(net, ds)
lis[ind+1] = net.activate((ind,))
GO to the beginning and continue from the last "x" which replaced from the net.activate()
What do you think? Do you believe that something like this will work?