The forecast model applies algorithms trained on information from data collections.

To create a forecast model:

  1. In Forecaster, select Forecast models.
  2. Select New forecast model in the upper right of the screen.
  3. Enter your Forecast model name.
  4. Select a Data collection from the dropdown. 
  5. Select an Algorithm from the dropdown. The list populates based on your chosen data collection. The algorithm you select trains the forecast model. See Algorithms to learn more.
  6. Beneath Forecast horizon, use the dropdown to set the length of the forecast, select How many intervals. 

Note: Forecaster determines the interval and maximum forecast length. It derives both the interval and length from the algorithm and the data collection.

  1. Beneath Additional settings, make the selections below (optional).
    • If the algorithm is Ensemble, select an Optimization metric from the dropdown. The default metric is MASE.  
    • Select from the Country-specific holiday calendar dropdown. This setting adds a related time series to the forecast model training. 
      • Country-specific holiday data is useful when the data collection represents data from a single country. 
      • To use a national holiday calendar, you must make sure the algorithm applied supports related data.

Example of a set up to create a forecast model.

Example of a set up to create a forecast model.