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Integrating Python and R predictive models into Pega Platform

Updated on June 29, 2022

Integrate predictive models that were built outside of Pega Platform™ with Pega Decision Management by using the Predictive Model Markup Language (PMML) format.

PMML is an XML-based format that facilitates exchanging predictive models produced by machine-learning algorithms.

Use case

As a data scientist, use a programming language such as Python or R to build a predictive model to determine which customers are likely to churn. Convert the model to PMML format and import it to Pega Platform to use in a next-best-action strategy.

This tutorial covers the following topics:

  1. Building PMML models in Python and R
  2. Incorporating PMML models into next-best-action strategies
See Supported PMML model types for the list of algorithms and features that you can use to build PMML models to incorporate into Pega Decision Management.

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