Is there any way to use Additional regressors without including it in prediction dataframe?
Open
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 4.6k
- Avg merge
- 19h 52m
- Merged PRs (30d)
- 1
Description
As I understand, We have to use Additional regressors values in both fitting and prediction dataframes. What if I don't have regressor values for prediction dataframes.
Ex- If I'm building a Bitcoin prediction modal, I will choose "Date" and "Adj Close" as my two inputs. What if I want to "Open" as an Additional regressors? There will be no data for prediction dataframes.
Is there anyway I can forecast using three inputs.
Thanks.
Contributor guide
Assessment
This issue has not been assessed yet.