Adaptive Model form
The following methods support the use of adaptive models in activities.
Obtain the predictor information for an adaptive model through the Call Embed-Decision- ADM-PredictorInfo.pyLoadPredictorInfo method with the following parameters:
Additionally, you can define the channel dimension information, and which pages to use when capturing active and inactive predictor information
Train models using a report definition representing response history trough the Call Rule- Decision-AdaptiveModel.pyUploadResponsesFromReport method with the following parameters:
Delete adaptive models in bulk through the Call DSMPublicAPI-ADM.pxDeleteModelsByCriteria method.
You can specify a number of parameters for this method. Open the .pxDeleteModelsByCriteria activity in Designer Studio to read the parameters' descriptions.
Note: Rule name, class, parameters corresponding to the action dimension, and parameters corresponding to the channel dimension always take the value of the corresponding configuration parameters. When enabled, an empty value is interpreted as a wildcard.
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