Configuring a PMML model

After importing a predictive model from a PMML file, you can update the outcome definition settings and map the model predictors to Pega Platform properties.

1. Open the predictive model that you want to edit, for example, Predict Call Context.
2. Optional: If you want to update the labels for response capture, on the Model tab, change the current outcome definition settings:
   1. In the Outcome definition section, click Edit, and update the model objective.
      To enable response capture, the model objective label must be the same as the .pyPrediction parameter value in the response strategy (applies to all model types).
   2. In the Outputs section, update the Default value entries for the outputs that you want to change.
      To enable response capture for binary models, the label of the predicted outcome that you want to monitor must be the same as the .pyOutcome parameter value in the response strategy.
3. On the Mapping tab, associate the model predictors with Pega Platform properties:
   Note: Confirm with your system architect if the properties that you need are not in Pega Platform.
   • To automatically generate the missing properties and map predictors to them, click Create missing fields.
   • To manually create properties that are not in Pega Platform and map them to predictors, in the Field column, enter a property name that matches the predictor entry, click Open, and configure the new property. For more information, see Creating a property.
4. Confirm your updates by clicking Save.