statsmodels.tsa.exponential_smoothing.ets.ETSModel.score

ETSModel.score(params, approx_centered=False, approx_complex_step=True, **kwargs)

Score vector of model.

The gradient of logL with respect to each parameter.

Parameters

paramsndarray

The parameters to use when evaluating the Hessian.

Returns

ndarray

The score vector evaluated at the parameters.