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Registry

In the Registry, you can register and manage models; create custom models, jobs, and applications; and view and manage datasets.

Topic Describes how to
Register and manage models Register and manage registered models containing deployment-ready model packages as versions.
Register data Add data to the Registry to act as a centralized hub for managing datasets in NextGen, allowing you to easily find, share, explore, and resuse data.
Create custom models Assemble and test model artifacts in the model workshop to deploy custom models through the Registry.
Create custom jobs Assemble custom jobs in the jobs workshop to implement automation for your models and deployments.
Create custom applications Create custom applications in DataRobot to share machine learning projects using web applications, including Streamlit and Dash.
Create custom environments Assemble an environment containing the packages required by a custom model, job, or application, along with any additional language and system libraries.

Updated February 4, 2025