LinearFourierSeasonality
effects.LinearFourierSeasonality(
self,
sp_list,
fourier_terms_list,
freq,
prior_scale=1.0,
effect_mode='additive',
linear_effect=None,
)Linear Fourier Seasonality effect.
Compute the linear seasonality using Fourier features.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| sp_list | List[float] | List of seasonal periods. | required |
| fourier_terms_list | List[int] | List of number of Fourier terms to use for each seasonal period. | required |
| freq | str | Frequency of the time series. Example: “D” for daily, “W” for weekly, etc. | required |
| prior_scale | float | Scale of the prior distribution for the effect, by default 1.0. | 1.0 |
| effect_mode | str | Either “multiplicative” or “additive” by default “additive”. | 'additive' |