You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, is D-ETM good for streamin data sources? How do you suggest training in mini-batches of data as it accumulates?
I also have another related question. I understand that DETM can adjust the model for concept drifts by shifting the mean and varience of topics by gaussian distribution. What if there is a particular topic that exists only (and heavily) in only one (or a few) particular time interval. Would DETM be able to detect it? Or is there an assumption that all topics exist at all time intervals?
The text was updated successfully, but these errors were encountered:
Hi, is D-ETM good for streamin data sources? How do you suggest training in mini-batches of data as it accumulates?
I also have another related question. I understand that DETM can adjust the model for concept drifts by shifting the mean and varience of topics by gaussian distribution. What if there is a particular topic that exists only (and heavily) in only one (or a few) particular time interval. Would DETM be able to detect it? Or is there an assumption that all topics exist at all time intervals?
The text was updated successfully, but these errors were encountered: