I'm a little bit confusing about how to format my model for variable time interval events classification with lstm.
I'm trying to classify events in time dimension. The events occur with different intervals (e.g., Event1 and Event2 have interval of 3 seconds, Event2 and Event3 have interval of 1.68 seconds). Each event has same number of features to describe its characteristics.
The confusing part is, the intervals between these events are also critical for the classification problem. For example:
1) if Event1 and Event2 both have feature x = 0, and the interval is less than 1 second, these series of events would be classified as class 1;
2) if Event1, Event2 and Event3 all have feature x = 1, and the intervals are longer than 2 seconds, these series of events would be classified as class 2.
I searched a lot of questions related to rnn time series problems and found nothing healpful. So anyone has good suggestions on formatting my data and model to deal with this problem?
