statsmodels.tsa.exponential_smoothing.ets.ETSModel.set_initialization_method¶

ETSModel.set_initialization_method(initialization_method, initial_level=None, initial_trend=None, initial_seasonal=None)[source]¶

Sets a new initialization method for the state space model.

Parameters:¶

initialization_method : str, optional¶

Method for initialization of the state space model. One of:

• ’estimated’ (default)

• ’heuristic’

• ’known’

If ‘known’ initialization is used, then initial_level must be passed, as well as initial_trend and initial_seasonal if applicable. ‘heuristic’ uses a heuristic based on the data to estimate initial level, trend, and seasonal state. ‘estimated’ uses the same heuristic as initial guesses, but then estimates the initial states as part of the fitting process. Default is ‘estimated’.

initial_level : float, optional¶

The initial level component. Only used if initialization is ‘known’.

initial_trend : float, optional¶

The initial trend component. Only used if initialization is ‘known’.

initial_seasonal : array_like, optional¶

The initial seasonal component. An array of length seasonal_periods. Only used if initialization is ‘known’.