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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.

Topic Describes
Register DataRobot model packages How to add a DataRobot model to the Model Registry from the Leaderboard.
Manage model packages How to deploy, share, or archive DataRobot models from the Model Registry.

Updated September 7, 2022
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