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I added some very basic (and kind of ugly) validation code. The only data that supports it currently is the Phi dataset.
Because Phi has just 2 batches, I assigned one to training data, and the other to validation data.
I also implemented a simple, deterministic random number generator, so that I could initialize weights and iterate over data in a reproducible fashion.
There are likely to be things I missed, so we'll leave this issue open for a while.
The challenge is with how to split the data, when the vast majority of it is being sampled stochastically, today.
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