- ExponentialSmoothingResults.forecast(steps=1, **kwargs)¶
If an integer, the number of steps to forecast from the end of the sample. Can also be a date string to parse or a datetime type. However, if the dates index does not have a fixed frequency, steps must be an integer. Default
Additional arguments may required for forecasting beyond the end of the sample. See FilterResults.predict for more details.
Out-of-sample forecasts (Numpy array or Pandas Series or DataFrame, depending on input and dimensions). Dimensions are (steps x k_endog).
In-sample predictions and out-of-sample forecasts.
Out-of-sample forecasts and results including confidence intervals.
In-sample predictions / out-of-sample forecasts and results including confidence intervals.