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
might potentially show some association with the behavior that you are trying to predict.
Examples of predictor information include:
- Demographic - Age, gender, and marital status.
- Financial - Income and expenditure.
- Activity or transaction information - The amount of a loan or the price of the
product.
-
Create an instance of the Activity rule by clicking
.
-
In the activity steps, enter the
Call
DSMPublicAPI-ADM.pxLoadPredictorInfo
method.
-
Click the arrow to the left of the Method field to expand the method and specify the
option to include active, or active and inactive predictors by performing one of the
following actions:
-
Set it to
true
to retrieve only active predictors.
-
Set it to
false
to retrieve active and inactive
predictors.
-
Specify the
Result
page to store predictor information.
-
Specify the
Adaptive model key
page.
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
).
-
Click
Save.