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@ -295,6 +295,11 @@ def regression_engine(device, inputs, outputs, args, loss = torch.nn.MSELoss(),
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return regressions
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return regressions
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#@jit TODO: determine jit type
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def elo(starting_score):
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@jit(forceobj=True)
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@jit(forceobj=True)
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def r_squared(predictions, targets): # assumes equal size inputs
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def r_squared(predictions, targets): # assumes equal size inputs
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