This topic describes how to create a Machine Learning repository. This is required before logging and loading Machine Learning models. Artifactory supports local repositories for Machine Learning models, allowing you to store and share first- and second-party packages with your organization. To learn about local ML repository structure in Artifactory, see Machine Learning Repository Structure.
For more information on JFrog repositories, see Repository Management Overview.
Prerequisite: You need Admin or Project Admin permissions in Artifactory to create a repository. If you don't have Admin permissions, the option will not be available.
To create a Machine Learning repository:
In the Administration tab, click Repositories | Create a Repository.
Select the Local repository type.
Select the Machine Learning package type.
In the Repository Key field, type a meaningful name for the repository. For example,
ml-local. For more information on local repositories and their settings, see Local Repositories.Click Create Repository. The repository is created and the Repositories window is displayed.