(Not sure whether I should post this here or on /r/statistics, so I'm trying here.)
I'm using PyBrain to create a neural network. I'm still pretty new to neural networks and their concepts. I've so far only run train() over the network, as trainUntilConvergence() is taking an incredibly long time (which is to be expected, it's a decently-sized dataset). My question is probably pretty simple--how do I utilize the network after it has been trained? I'm only training the network over 80% of the data, and I believe my next step is to actually test the network on the remaining data, but I'm not sure where to go from here, either statistically or technically regarding functions within PyBrain itself.
The specifics are available in my previous post (especially in the comments) on /r/statistics, if you'd like.
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