sample_embedding_W.csv and feature_embedding_H.csv Cause for the 0.0 value

[CHENzzzjj]

Hello,
We executed the command python/impute.py -in <data_folder>, utilizing nine datasets obtained from the MIRTH Benchmarking data on GitHub.With or without parameter modification,we encounter 0.0 values in the result files sample_embedding_W.csv and feature_embedding_H.csv, whereas imputed_aggregate_data.csv contains values ranging between 0 and 1 .Furthermore, upon comparison, we noticed discrepancies betweenthe sample embedding matrices W and H in additional file 3 of MIRTH: Metabolite Imputation via Rank-Transformation and Harmonization and our results.
Could you kindly advise if we are encountering any issues with left-censored processing? And could you please advise if the occurrence of 0.0 values is expected or if there might be a problem with our implementation?Or do we need to change any special script parameters?

Thank you.