statsmodels.tsa.exponential_smoothing.ets.ETSModel.score¶
- ETSModel.score(params, approx_centered=False, approx_complex_step=True, **kwargs)[source]¶
Score vector of model.
The gradient of logL with respect to each parameter.
- Parameters:
- params
ndarray
The parameters to use when evaluating the Hessian.
- params
- Returns:
ndarray
The score vector evaluated at the parameters.