LSTM Input data

by user13874   Last Updated September 12, 2019 03:19 AM

I am really new to using LSTMs for time series forecasts. I am having a little problem defining the problem was hoping someone could help me.

Say I have a bunch of claim payments (see image). I would like to forecast sum of all claim payments for Apr-17 using previous data. Should my training dataset have:

A) individual claims and monthly payments (Jan-16 to Mar-17 in the image) ?

B) sum of all claims and monthly payments (Jan-16 to Mar-17 in the image) ? enter image description here

The examples I've seen usually have a single array of values, similar to a time series forecast of aggregated numbers. I've looked at Multivariate LSTMS and I am not sure they apply for this scenario because all values represent the same type of payment.

Any guidance would be appreciated


Tags : python lstm

Related Questions

Looking for python lstm/gru network tutorial/code example

Updated September 30, 2017 22:19 PM

Stationarity checking in LSTM

Updated April 16, 2018 06:19 AM

What is input_shape in keras

Updated January 13, 2018 16:19 PM

keras stateful LSTM

Updated April 05, 2017 19:19 PM

Questions regarding LSTMs

Updated September 07, 2017 22:19 PM