Obtaining predictor information

Use the Call instruction with the DSMPublicAPI-ADM.pxLoadPredictorInfo activity to obtain the predictor information of an adaptive model. Predictors contain information about the cases whose values may potentially show some association with the behavior you are trying to predict. Examples include:

• Demographic - age, gender, and marital status.
• Financial - income and expenditure.
• Activity or transaction information - the amount of a loan taken out or the price of the product.

1. Create an instance of the Activity rule by selecting Activity from the Technical category.

2. In the activity steps, use the Call DSMPublicAPI-ADM.pxLoadPredictorInfo method.

3. Click the arrow to the left of the Method field to expand the method and specify its parameters:

   • Option to include active, or active and inactive predictors.

     • Set it to true to retrieve only active predictors.

     • Set it to false to retrieve active and inactive predictors.

   • Result page to store predictor information.

   • Adaptive model key - The page that contains the adaptive model parameters.

     This page must be on the Embed-Decision-AdaptiveModel-Key class to uniquely identify an adaptive model. The properties of data type text in this class provide the action dimension (pyIssue, pyGroup, and pyName), channel dimension (pyDirection, and pyChannel), the applies to class of the adaptive model (pyConfigurationAppliesTo), and the name of the adaptive model (pyConfigurationName).

4. Click Save.

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