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I have a fundamental confusion about your code. Based on your accuracy function definition, it seems like you choose the best model based on access to the true labels of the data (by choosing the model that has the lowest true error which should be unavailable while training)
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Hi,
I have a fundamental confusion about your code. Based on your accuracy function definition, it seems like you choose the best model based on access to the true labels of the data (by choosing the model that has the lowest true error which should be unavailable while training)
Self-PU/train_2s2t_mix.py
Line 270 in a0e332a
Am I misunderstanding something? T is the true label, and Y is the noisy one in your code, right?
Thank you in advance.
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