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The current CSDI implementation uses imputation error to evaluate and select models as other imputation models in PyPOTS like SAITS. But the original implementation uses denosing loss.
Also, the CSDI dataset has problems with loading from data file.
The text was updated successfully, but these errors were encountered:
Issue description
The current CSDI implementation uses imputation error to evaluate and select models as other imputation models in PyPOTS like SAITS. But the original implementation uses denosing loss.
Also, the CSDI dataset has problems with loading from data file.
The text was updated successfully, but these errors were encountered: