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?
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.
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?