Machine learning is available as an automatic univariate model, which may be included in expert selection, or as a custom model. Like exponential smoothing and Box-Jenkins, machine learning models leverage information inherent in the historic data (seasonality, trend) to create variables (features in machine learning). While the automatic machine learning models rely on only this information, custom machine models allow you to include additional explanatory variables and/or events.
Click the Machine Learning icon to use an automatic univariate machine learning model.
The modifier associated with Automatic Machine Learning is:
\ML. Use automatic machine learning.
Select Expert with ML from the Machine Learning icon drop-down to include machine learning in expert selection for the selected item. This is useful when you want to consider machine learning in expert selection for only a subset of items. This is only available when you exclude machine learning from Expert Selection globally via the Performance tab of the Options.
\MLES. Include machine learning in expert selection and apply the model that is automatically selected.