Properties that can be configured for the R-Double Exponential Smoothing algorithm.
| Property | Description |
|---|---|
| Output Mode | Select the mode in which you want to use the output of this
algorithm.
|
| Target Variable | Select the target column for which you want to perform time series analysis. |
| Period | Select the period for forecasting. |
| Periods Per Year | Select the periods for forecasting. This option is only enabled if you select "Custom" for "Period". |
| Start Year | Enter the year from which the observations must be considered. For example, 2009, 1987, 2019. |
| Start Period | Enter the period from which the observations must be considered. |
| Periods to Predict | Enter the number of periods to predict. |
| Predicted Column Name | Enter a name for the newly created column that contains the predicted values. |
| Year Values | Enter a name for the newly created column that contains year values. |
| Quarter Values | Enter a name for the newly created column that contains quarter values. |
| Month Values | Enter a name for the newly created column that contains month values. |
| Period Values | Enter a name for the newly created column that contains period values. |
| Alpha | Enter a smoothing constant for smoothing observations (base parameters). The default value is 0.3. Range: 0-1. |
| Beta | Enter a smoothing constant for finding trend parameters.The default value is 0.1. Range: 0-1. |
| Confidence Level | Enter the confidence level of the algorithm. |
| No. Periodic Observations | Enter the number of periodic observations required to start the calculation. The default value is 2. |
| Level | Enter the start value for level (a[0]) (l.start). For example: 0.4. |
| Trend | Enter the start value for finding trend parameters (b[0]) (b.start). For example: 0.4. |
| Optimizer Inputs | Enter the starting values for alpha, beta, and gamma required for the optimizer. For example: 0.3, 0.1, 0.1. |