Timeline for Multi-Source Time Series Data Prediction
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 21, 2017 at 11:45 | comment | added | Tobi | I have not done exactly that but there should be no general problem. I wouldn't do feature engineering. In general feature engineering is not needed for deep learning, sure there might be situations when it helps. | |
| Jul 19, 2017 at 15:48 | comment | added | Nmaple | Thank you. Could you please read my comment above and see if you were also successful in using multiple time-series with different sources (in my case product types) in the same model? if so, did you have to do any form of feature engineering to take into account the characteristics of each individual sequence or did you apply another method? | |
| Jul 17, 2017 at 13:55 | history | answered | Tobi | CC BY-SA 3.0 |