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Predictive model deployment integration with caseflow
We have created a predictive model using 'recommendation' in Pega Prediction Studio. Could someone help us with guidance on complete case flow integration of the model output?
Hello Arjun. I believe that you have created a pega machine learning predictive model using the "Recommendation" category. In order to use this model there are two ways of doing so.
Approach 1 : using data flows (Requires a data flow node)
1. Create a strategy and add a predictive model shape in the canvas.
2. Create a data flow in the same class.
3. Let the source and destination shapes be as abstract.
4. Add a strategy shape and configure your strategy there.
5. Let the mode be as "Make decision".
6. On your case flow canvas, add the run data flow shape and configure your data flow there.
7. You need to specify a page of your SR class in the data flow shape.
8. The outputs of the strategy will be available on that page which will contain the predictive model results as well.
Approach 2 : using predictive model directly in the case
1. Add a decision shape in your case flow and choose the predictive model option.
2. Configure your predictive model there.
3. On each connector of the decision shape, you can configure a score segment of the predictive model.
4. This option works only for pega machine learning predictive models.
Do let me know if you need any more support on this.
Regards,
Aditya