Time series with missingness about synthcity

[robsdavis]

Hi @hojjatkarami, Thanks for engaging with Synthcity!

We currently consider the scope Synthcity to be that it is only for generating synthetic records from complete datasets with no missingness data. All data must be imputed in the real dataset before training and none of our models generate missing values. However, we do already support generating synthetic time series datasets from real irregular time series datasets. These such datasets could be said to theoretically contain missing time points, but the data set does not actually contain any missing values with placeholders. You just need to label the time points you have in your dataloader.

Is this the sort of thing you mean, or are you suggesting something else, like generating a dataset with missing values in it or training on a dataset with multiple features at irregular time points with some (but not all) feature values missing?

[hojjatkarami]

Hi @robsdavis,

I am thinking about irregularly sampled time series with missingness such as clinical time series of ICU patients. So, at each time stamp, a few variables might be missing.