Prepare DataRobot models for deployment¶

DataRobot AutoML models allow you to deploy to a DataRobot-managed prediction environment. This deployment method is the most direct route to making predictions and monitoring, managing, and governing your model in a centralized deployment hub. In addition, DataRobot AutoML models can be deployed to a containerized DataRobot prediction environment called a Portable Prediction Server (PPS). To prepare to deploy an AutoML model to a PPS, you can build models with AutoML and register the DataRobot model.