Custom Model Workshop¶

Custom inference models allow you to bring your own pretrained models to DataRobot. By uploading a model artifact, you can create, test, and deploy custom inference models to a centralized deployment hub. DataRobot supports models built with a variety of coding languages, including Python, R, and Java.

Once deployed to a prediction server managed by DataRobot, you can make predictions via the API and monitor your deployment with a suite of capabilities.

Before proceeding, DataRobot recommends you reference the file setup and guidelines for uploading a custom model to the workshop.

When you are ready to add a custom model to DataRobot, you can:

• Create a custom environment.
• Create and deploy a custom inference model.
• Test custom model in the Workshop.
• Integrate a repository to pull files.
• Share and delete custom models and environments.