partially complete work on model wrapper/runner #38
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* refactor protein/structure into 1:N relationship where protein methods return structure instances * automatically load from uniprot with separate static methods for loading files and urls, more generic way to get terms, separate handling for terms that are also structures
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This is the model wrapper work that I didn't get to finish as part of issues #32, #36, and #37. It loads the trainingset, adds a protein cache for loading go terms (in order to use their one hot sequences and not redownload the same files each time), and prepares the inputs and outputs for a 1d cnn and with a 1d rnn partly stubbed out.