Amplifying the amplitude of seasonality
Open
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 4.6k
- Avg merge
- 19h 52m
- Merged PRs (30d)
- 1
Description
If my understanding is correct, increasing the Fourier terms in the add_seasonality function increases the frequency of seasonal fit. What I am looking for is a way to increase the amplitude of the fit rather than the frequency to be able to model higher amplitude weekly seasonalities in my time series. Any possible way to do this?
Contributor guide
Assessment
This issue has not been assessed yet.