Configurations tab on the Predictive Model form
On this tab, you can configure custom functions in a PMML model that you uploaded. You need to use Java code for this configuration.
When you upload a predictive model file (a PMML file), the system scans the source file and looks for the applied functions and their definitions. If some custom functions are missing, click Show errors to view the full list of missing functions.
The following task is supported on this tab:
- Configuring custom functions of a PMML model
PMML functions transform data in PMML models. These models include several predefined functions that are defined as Java code in the Pega PMML execution engine. Additionally, PMML producers sometimes use proprietary expressions (functions) with the PMML models that are not part of the models themselves. These functions are used for various reasons (such as performance increase or enhancements). In such cases, the PMML model contains custom functions (the model contains only references to the functions and their parameters).
- Creating a Pega predictive model
Use customer data to develop powerful and reliable models that can predict customer behavior, such as offer acceptance, churn rate, credit risk, or other types of behavior.
- About Predictive Model rules
Predictive Model rule instances use models that are created in the Prediction Studio or third-party models in Predictive Model Markup Language (PMML) format to predict customer behavior. You can use predictive models in strategies through the Predictive Model components and in flows through the Decision shape.