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
Was this page helpful?
Great! Let us know what you found helpful.
What can we do to improve the content?
Thanks for your feedback!