# statsmodels.tsa.forecasting.stl.STLForecastResults¶

class statsmodels.tsa.forecasting.stl.STLForecastResults(stl: statsmodels.tsa._stl.STL, result: statsmodels.tsa.seasonal.DecomposeResult, model, model_result, endog)[source]

Results for forecasting using STL to remove seasonality

Parameters
stlSTL

The STL instance used to decompose the data.

resultDecomposeResult

The result of applying STL to the data.

modelModel

The time series model used to model the non-seasonal dynamics.

model_resultResults

Model results instance supporting, at a minimum, forecast.

Attributes
model

The model fit to the additively deseasonalized data

model_result

The result class from the estimated model

period

The period of the seasonal component

result

The result of applying STL to the data

stl

The STL instance used to decompose the time series

Methods

 forecast([steps]) Out-of-sample forecasts get_prediction([start, end, dynamic]) In-sample prediction and out-of-sample forecasting Summary of both the STL decomposition and the model fit.

Methods

 forecast([steps]) Out-of-sample forecasts get_prediction([start, end, dynamic]) In-sample prediction and out-of-sample forecasting Summary of both the STL decomposition and the model fit.

Properties

 model The model fit to the additively deseasonalized data model_result The result class from the estimated model period The period of the seasonal component result The result of applying STL to the data stl The STL instance used to decompose the time series