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@limhasic hard to do that, I'm recently on the synthesis of fraud detection transactions, I found that tab-DDPM proposed here can only handle samll feature sets. My trans data includes about 400 features, the training is hard and the generation is not satisfactory.
Isn't it still not applicable to data such as custom datasets (e.g. credit card fraud detection data)?
It seems to be suitable for tabular data, but is it not suitable for transaction data?
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