About Adaptive Model rules
Adaptive models are self-learning predictive models that predict customer behavior.
The Adaptive Model rules are used to configure adaptive models in the Adaptive Decision Manager (ADM) service. An adaptive model rule typically represents many adaptive models, because each unique combination of the model context will generate a model. A model is generated when a strategy that contains the Adaptive Model component is run. When models are generated, the ADM service starts capturing the data relevant to the modeling process.
- Adaptive Model rules - Completing the Create, Save As, or Specialization form
To specify positive or negative behavior for an Adaptive Model, define the possible outcome values to associate with these behaviors.
- 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.
- Model management
On the Model Management landing page, you can manage adaptive models that were run and predictive models with responses. You can view the performance of individual models and the number of their responses, or perform various maintenance activities, such as clearing, deleting, and updating models.
- Adaptive model methods
Adaptive models can be managed and trained through a rule-based API.
- Pega-DecisionEngine agents
The Pega-DecisionEngine agents support Decision Management operations.