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Decision Management methods

Use the Decision Management methods to access decisioning functionality the Pega Platform programmatically. The methods are categorized by the following areas:

Adaptive models
Data flows
Decision data
External data flows
Interactions
Interaction History
Simulations
Strategies

Adaptive model methods
Adaptive models can be managed and trained through a rule-based API.
Data flow methods
Data flows can be run, monitored, and managed through a rule-based API. Data-Decision-DDFRunOptions is the container class for the API rules and provides the properties required to programmatically configure data flow runs. Additionally, the DataFlow-Execute method allows you to perform a number of operations that depend on the design of the data flow that you invoke.
Decision data methods
Decision data records are designed to be run through a rule-based API. When you run a decision data record, you test the data that it provides.
External data flow methods
External data flows can be run, monitored, and managed through a rule-based API. Data-Decision-EDF-RunOptions and Pega-DM-EDF-Work are the container classes for the API rules, and provide the properties required to programmatically configure external data flow runs.
Interaction methods
Interactions can be run through a rule-based API. When you invoke an interaction, it runs a strategy that is selected in the interaction.
Interaction History methods
You can use a rule-based API to associate known customer IDs with IDs that are generated by external interactions through different channels and devices or to separate them.
Simulation methods
Check the availability of customer data, data classes, and report definition rules through a rule-based API.
Strategy methods
Use a rule-based API to get details about the propositions and properties in your strategies.

DataFlow-Execute method

DataSet-Execute method

Parent topic: Calling another activity