8000 Issue in Choosing the Best Model · Issue #31 · VITA-Group/Self-PU · GitHub
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Issue in Choosing the Best Model #31

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naji-s opened this issue Mar 5, 2025 · 0 comments
Open

Issue in Choosing the Best Model #31

naji-s opened this issue Mar 5, 2025 · 0 comments

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@naji-s
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naji-s commented Mar 5, 2025

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)

'state_dict': models[all_accuracy.index(max(all_accuracy))].state_dict(),

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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