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Model context

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The context for adaptive models is defined by selecting properties from the top level Strategy Results (SR) class of your application as model identifiers. The model identifiers are used to partition adaptive models. Each unique combination of model identifiers creates an instance of an adaptive model that is associated to this Adaptive Model rule. For example, each proposition typically has its own model.

Models are created only when a strategy that references this Adaptive Model rule instance is triggered. After you run the strategy, you can view the adaptive models that were created on the Model Management landing page.

  • Adding model identifiers

    Model identifiers are properties from the top level Strategy Results (SR) class of your application that define the model context in your application. The ADM server uses a combination of model identifiers to create adaptive models. When you create an instance of the Adaptive Model rule, there are five default model identifiers ( .pyIssue, .pyGroup, .pyName, .pyDirection, .pyChannel ). You can keep them or define your own identifiers.

  • Adaptive model tab on the Adaptive Model form

    On the Adaptive Model tab, you can define the basic settings of an Adaptive Model rule instance by performing the tasks, such as defining the model context and potential predictors. You can also view the parameterized predictors.

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