Outliers detection
Open
enhancement
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 4.6k
- Avg merge
- 19h 52m
- Merged PRs (30d)
- 1
Description
Hello,
and thank you for sharing the Prophet model.
I am wondering if all types of outliers (i.e AO, IO, TC, LS) can be set to NA in order to run the Prophet model.
I want to detect outliers previous to execute the prophet model, and I'm not sure about what is the best practice. Could you help me please? Is it a good option to detect the outliers from the random component? random= yhat - (seasonal + weekly + yearly + holidays + trend)
Thank you in advance,
Contributor guide
Assessment
This issue has not been assessed yet.