Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

This content has been archived and is no longer being updated.

Links may not function; however, this content may be relevant to outdated versions of the product.

Editing an imported model

Updated on March 11, 2021

After importing a predictive model from a PMML file or an H2O MOJO file, map the model predictors to Pega Platform properties. You can also update the outcome definition settings.

  1. Open the predictive model that you want to edit, for example, Predict Call Context.
  2. On the Mapping tab, associate the model predictors with Pega Platform properties by selecting corresponding properties in the Field menu.
    Note: If the properties that you need are not available in Pega Platform, ask your system architect to add the properties for you.
  3. Optional: 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.
      Note: To capture responses for the model, the model objective label that you specify should match the value of the .pyPrediction parameter 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.
  4. Confirm your updates by clicking Save.

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us