You need an item-level explainability module and import action to use the MVLR algorithm.

To create the forecast explainability module, you need to have already created a Forecast Action list.

To create a forecast explainability module.

  1. Create a module called Module Forecast Explainability.
  2. From the New Module dialog:
    • Use the Item ID list and Forecast Feature Names list as row dimensions.
    • Use Line Items as a column dimension.
    • Use the Forecast Action list as a page dimension (see screenshot 1 below).
      The same list you create in Create a forecast results module.
    • Select OK.
  3. Add a line item called Feature Contribution. Format this line item as a number with percentage as the units.
  4. In Blueprint view, select None in the Summary column for the Feature Contribution line item.
  5. From the regular view:
    • Select Import from the Data dropdown.
  6. From the Select Source dialog:
    • Select import_action_setup_explainability.csv.
    • Clickthe Select button.
  7. Select Admins Only from the Set as default file for dropdown.
  8. From the Import dialog, Mapping tab:
      • Map Source to Target. The table below provides an example. Your sources and targets will vary.
Column 4 FORECAST_ACTIONForecast Action
Column 1 FEATURE_NAMEList Forecast Feature Names
Column 3 ITEM_IDItem_id
(Column Headers)Forecast Explainability Line Items
      • Select Only update imported cells on the right (see screenshot 2 below).
      • From the Forecast Explainability Line Items tab:
Source itemsMapped To
  • Note: Don't map the Item IDForecast Feature Names, or Forecast Action tabs. The Forecast Feature Names tab has no Target items until you run a Forecast action.
    • Select Run Import.

Screenshot 1: Create a new module and set dimensions.

Dialog to create a new module. It shows the dimensions to be set, Pages, Columns, and Rows.

Screenshot 2: Example of Mapping for Forecast Explainability.

Dialog of Mapping for Forecast Explainability. This shows four Sources and four Targets.