You can change the following settings in the Options pane of the pipeline. For more information, see Options Pane.
Specify an integer greater than one. This setting is used to determine whether a time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables) is intermittent. If the demand interval is equal to or greater than this number, then the series is assumed to be intermittent.
Select one of the following models:
For best results, make sure at least two of these models are selected. If none of the models are selected, an ESM model (ESM BEST) is used for all time series.
Turn this setting on to include an exponential smoothing model (ESM) for diagnosis.
Turn this setting on to include an ARIMAX model for diagnosis.
Turn this setting on to include a UCM model for diagnosis.
Enter a positive integer to be used as the size of the holdout samplethe number of periods of the most recent data that should be excluded from the parameter estimation. The holdout sample can be used to evaluate the forecasting performance of a candidate model.. The actual holdout sample is the minimum between this value and the Percentage of data points used in the holdout sample . The default value is zero, which means no holdout sample is used.
Enter a value between 0 and 100 to specify the percentage of the sample that is used for the holdout sample. The actual holdout sample is the minimum between this value and the Number of data points used in the holdout sample . This option is displayed only if Number of data points used in the holdout sample is greater than zero.
Choose the statistics of fit to use for selecting the best model in this modeling node. For descriptions for each option, see Descriptions of Model Selection Criteria.
The following tables are automatically generated when running this modeling node. The tables can be saved to another caslib by using the Save Data Node.
You can select the following optional tables. Select any tables that you want generated when this node is run. After the node is run, you can use the Save Data Node if you need to save any of these tables.