wetliu / energy_ood

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How to arrange dataset for optimal m_in and m_out values?

utkutpcgl opened this issue · comments

Thanks for the great contribution!

To optimize m_in and m_out how did you arrange the validation dataset. I see that you have used 10% from the cifar10 dataset here:

train_data_in, val_data = validation_split(train_data_in, val_share=0.1)

Did you use the entire auxiliary dataset (tiny images) to measure the OOD performance of the chosen parameters (m_in and m_out)?