Artifacts
Last updated
Last updated
The Artifacts menu is used for tracking experimental results, further analysis, or used as input for subsequent steps in the pipeline. On the Service Portal Deka MLOps menu page, select the Artifacts menu.
In the Artifacts menu, there are two submenus.
Default
The Default submenu displays all artifacts that are not categorized under any specific group. This includes individual files or outputs generated by various components of your machine learning workflows. It provides a straightforward view of all artifacts, making it easy to access and manage them without any additional organization.
Grouped
The Grouped submenu organizes artifacts into specific categories or groups based on certain criteria, such as the experiment or pipeline they belong to. This allows users to easily navigate through related artifacts, facilitating better management and retrieval of files associated with particular projects or workflows. Grouping helps in maintaining a structured overview, especially when dealing with a large number of artifacts.