Configuration

The ML Mapper connects a trained AutoML model to a window in your system. Once configured, the window gains a Predict button that uses the model to fill in a target field based on the values entered in the source fields.

Accessing ML Mapper

Click the ML Mapper icon in the left sidebar. The page is divided into three panels:

ML Mapper page showing trained model list, window list, and empty configuration panel

Left panel: lists the trained ML models available in the system
Middle panel: lists all windows in the system; select a window to configure a mapper for it
Right panel: the configuration form, shown after selecting both a model and a window

Creating a Mapper

Select a trained model from the left panel, then select a window from the middle panel. The configuration form appears on the right.

ML Mapper configuration panel with mapper title, target column, and source column mappings

Fill in the following:

Field	Description
Mapper Title	A name for this mapper
Choose Submenu	The submenu (window form) where the Predict button will appear
Enable	Toggle to activate the mapper
Target Column	The model's output field — the field that gets filled with the prediction
Editable	If checked, users can manually edit the predicted value before submitting
Source Columns	Map each model input feature to the corresponding field in the window

The Submenu section at the bottom shows all the fields available in the selected submenu for reference.

Click Create Mapper when done.

Success dialog confirming ML Mapper has been published

The mapper is published and the Predict button becomes available on the configured window form.

ER Diagram Prediction