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: paramsndarrayThe parameters to use when evaluating the Hessian. Returns: ndarrayThe score vector evaluated at the parameters.