After running iupred2a on my peptides and proteins and passing the results into step3, I have a peptide feature file with shape (None, 50, 2) instead of (None, 50, 3). These two features are the long and short predictions from iupred2a. How can I generate the third feature that is present in the given example data?
After running iupred2a on my peptides and proteins and passing the results into step3, I have a peptide feature file with shape (None, 50, 2) instead of (None, 50, 3). These two features are the long and short predictions from iupred2a. How can I generate the third feature that is present in the given example data?