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Thanos_nap OP t1_j63dyc3 wrote

Reply to comment by vwings in [P] Building a LSTM based model for binary classification by Thanos_nap

There is a temporaral component. These customer actions are week wise. So the data is Customer ID, week number, action, converted yes or no.

I can get this in the 3d shape with time step as week, features = actions. But I'm confused what would be the batch here.

But yes, i agree with you this is not the best method for my use case!

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vwings t1_j64itph wrote

The batch dimensions are the different customers. You have N costumers, across T weeks and possible actions. This should give you a sparse tensor of dimensions [N,T,K] that you can easily plug into any LSTM....

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