LinearFourierSeasonality

effects.LinearFourierSeasonality(
    self,
    sp_list,
    fourier_terms_list,
    freq,
    prior_scale=1.0,
    effect_mode='additive',
)

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'