Properties that can be configured for the R-Triple 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 period 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. |
| Gamma | Enter a smoothing constant for finding seasonal trend parameters. The default value is 0.1. |
| Seasonal | Select the type of HoltWinters Exponential Smoothing algorithm. |
| 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. |
| Season | Enter start values for finding seasonal parameters (s.start). This value is dependent on the column you select. For example, if you select quarter as period, you need to provide four double values. |
| Optimizer Inputs | Enter the starting values for alpha, beta, and gamma required for the optimizer. For example: 0.3, 0.1, 0.1. |