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[D] Representing “Time Series” with varying time interval?

Say I’ve got some data, each element has a time variable to it, and the data is ordered by ascending time.

This isn’t exactly a time series, as the interval between data items isn’t fixed. Data may be 1 minute apart, or say 5 minutes apart. It is, however, a sequence.

I want to use this data to predict a quantity every hour, by using the data from the previous hour.

How do I capture the temporal sequence aspect of this data? In a neural network. I’m thinking of using RNNs, but they need at least to have each sequence element to be a fixed time interval apart, no?

It wouldn’t make sense, as two consecutive cells could have inputs that are 1 millisecond apart, and others have inputs that are 5 minutes apart, in the same RNN.

Any help is very appreciated. Bugging me for days.

submitted by /u/temporal_templar
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.