Assembly: Modeller;
Namespace: Prognoz.Platform.Interop.Modeller;
The IEmExponentialSmoothingSettings interface determines the Exponential Smoothing method calculation parameters.
IEmExponentialSmoothingSettings
Exponential smoothing is one of the most popular methods used to smooth and forecast a wide range of time series. This method is based on calculating exponential means.
To create an object with calculation parameters use the IExpressModeller.CreateExponentialSmoothingSettings method.
Property name | Brief description | |
Alpha | The Alpha property determines value of alpha parameter. | |
Delta | The Delta property determines delta parameter value. | |
Explained | The Explained property determines a smoothable series. | |
Gamma | The Gamma property determines value of the gamma parameter. | |
Phi | The Phi property determines value of phi parameter. | |
Seasonality | The Seasonality property determines seasonality type. | |
SeasonalityCycle | The SeasonalCycle property determines duration of the seasonality period.. | |
Trend | The Trend property determines trend type. |
Property name | Brief description | |
Format | The Format property determines a set of sections displayed in the report of express modeling method calculation. | |
MissingData | The MissingData property returns missing initial data processing parameters, used by the express modeling method. | |
Period | The Period property returns calculation period parameters for the express modeling method. | |
ReportSettings | The ReportSettings property returns report parameters for calculating the express modeling method. | |
Sections | The Sections property returns report sections data of express modeling method calculation. |
See also:
Modeller Assembly Interfaces | TheExponential Smoothing Method