Broaden your selection of topic models in Pega Platform by connecting to custom models through an API. Train and
deploy your topic models, and expose an API endpoint to allow Pega Platform to interact with the models.
To help you serve your models through an API, the Pega
GitHub repository provides sample Docker containers, with which you can train and deploy
- In Dev Studio, configure the OAuth 2.0 authentication
- Deploy your topic model and expose an API endpoint to allow Pega Platform to interact with the model.
- In Prediction Studio, define a machine learning service to
connect to topic models through an API.
- In Prediction Studio, create a text categorization model
using the new service connection.