Inconsistent Data Preprocessing in Tutorial_ZeroShot_Integration.ipynb

[nc1m]

Hi,

In the Tutorial_ZeroShot_Integration.ipynb tutorial/example, the COVID-19 and Lung-Kim datasets are used, which appear to contain raw counts. However, the model expects normalized and log1p transformed values. Is there a reason why these datasets are not preprocessed to match the model's input requirements?

[subercui]

Hi, thank you for the question. The input to the model is actually the binned values, so actually these preprocessing including log1p should not matter.

[nc1m]

Alright, thank you for clarifying!
So there is no need to normalize and log1p transform before fine-tuning?