Incorporating categorical values in the Prophet model
Open
question
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 4.6k
- Avg merge
- 19h 52m
- Merged PRs (30d)
- 1
Description
Hello,
I have a dataset that has time series data along with 5 categorical features. I want my model to take the values in these categories into account when making a forecast.
Do you know if there is any way to do this ? Is it possible to incorporate the categorical values in one single model so that I won't have to train a model for each combination of the values in these 5 categories ?
Contributor guide
Assessment
This issue has not been assessed yet.