To create a model-level explainability module and import action:

Create a list called "Forecast Models."
In Pivot view:
- Place Forecast Feature Names as Rows dimensions.
- Place Line Items as the Column dimension and remove Time.
- Place the Forecast Models in the Pages dimension (see screenshot 1 below).
- Select OK.

Add a line item called Feature Contribution.
In Blueprint view, select None in the Summary column for the Feature Contribution line item.

From the regular view:
- Select Import from the Data dropdown.
From the Select Source dialog:
- Select import_action_setup_model_explainability.csv.
- Click the Select button.
From the File Options dialog:
- Use the Set Default File dropdown to select Admins Only.
- Select Next.
From the Import dialog, Mapping tab:
- Map Source to Target. The table below provides an example. Your sources and targets will vary.

Source	Target
`Column 4 FORECAST_MODEL_NAME`	`Forecast Model`
`Column 1 FEATURE_NAME`	`List Forecast Feature Names`
`(Column Headers)`	`Model-Level Explainability Module`

Select Only update imported cells on the right (see screenshot 2 below).
Note: You don't need to map within the Forecast Feature name tabs. The Forecast Feature name tab will have no Target items until you run a Forecast action.
From the Forecast Explainability Line Items tab:

Source items	Mapped To
`FEATURE_CONTRIBUTION`	`Feature Contribution`

Select Run Import.
This is how you define the import to the explainability module.
Optional: from Import actions, rename import_action_setup_explainability to IMP Module Forecast Explainability.

Blueprint setup example:

9. Select OK.
Your explainability module is now ready. The next step is to import your model-level explainability.

title