statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.smooth

ExponentialSmoothing.smooth(params, cov_type=None, cov_kwds=None, return_ssm=False, results_class=None, results_wrapper_class=None, *args, **kwargs)

Kalman smoothing

Parameters:

paramsarray_like

Array of parameters at which to evaluate the loglikelihood function.

transformedbool, optional

Whether or not params is already transformed. Default is True.

return_ssmbool,optional

Whether or not to return only the state space output or a full results object. Default is to return a full results object.

cov_typestr, optional

See MLEResults.fit for a description of covariance matrix types for results object.

cov_kwdsdict or None, optional

See MLEResults.get_robustcov_results for a description required keywords for alternative covariance estimators

**kwargs

Additional keyword arguments to pass to the Kalman filter. See KalmanFilter.filter for more details.