'How can I predict n number of future values using RNN which uses multiple features
I am having a use case where I need to predict n number of future values after using the given data. eg: I have data from Jan 1 2021 - Jan 1 2022. I need to predict the values for Jan 1 2022 - Feb 1 2022
My use case is similar to the one posted here. How to shape the input of a RNN with multiple features for each target?
Can someone please help me with generating the future values once the prediction using test data is done?.
Solution 1:[1]
I think what you are referring to is the autoregressive model available in the official tf docs https://www.tensorflow.org/tutorials/structured_data/time_series#advanced_autoregressive_model
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Deepak Sadulla |