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An example of the edge feature function φ, which is a neural network with one hidden layer. The function takes both template and target protein features as input and yields one log-likelihood score for state transition M to Is. Meanwhile, H1, H2 and H3 are hidden neurons conducting non-linear transformation of the input features
