Rejecting shadow models with MLOps
A shadow model runs in your production environment alongside an active model. The shadow model receives production data and generates outcomes, but does not impact your business decisions. The system tracks the outcomes to help you evaluate how the shadow model performs in production. If the model is not suitable for your needs, you can reject the model, and then replace it with a different one.
Rejecting shadow models is part of the Machine Learning Operations (MLOps) feature of Pega Platform.
Pega Customer Decision Hub
- In the navigation pane of Prediction Studio, click Predictions.
- From the list of predictions, open a prediction that contains a shadow model, and then click the Models tab.
- Display the shadow model by expanding the twist arrow to the left of the current model.
- Ensure that the status of the model is SHADOW.
- To the right of the shadow model, click the More icon, and then click Reject model.
- In the Reject model dialog box, click Reject model to confirm.
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