A project consists of the models, datasets, and other resources that you use to train, evaluate and deploy a model. You create a project and add models in it, train, evaluate and deploy these models using multiple environments.
The Projects module organizes and facilitates the creation and management of projects. You can perform the following projects related operations in this module:
Create a New Project¶
To create a new project:
Select Projects from the Navigation bar. The List of Projects displays in the Work area.
Click the Create Project button. The Create Project dialog displays.
In the Basic tab, set the properties:
|Name||Specifies the project name.|
|Description||Specifies the description of the project.|
|Group||Lets you add project under specified project groups. The default project group is DEMO.|
|Repository||Allows adding the link to the project's Git repository.|
|Branch||Specifies the branch of Git repository for the project.|
Edit a Project¶
To edit an existing project:
Archive a Project¶
The archiving feature allows you to hide a project from the list to better organize your projects. You can view the archived projects and unarchive them if required.
Note: The Archiving feature is provided with multiple modules including projects, models, model versions, dataset templates, datasets, and connections.
To archive a project:
Select a project from the list. The Actions button enables.
Click the Actions button. The Actions menu displays.
Click Archive Project. The project archives and hides from the current List of Projects. A confirmation message displays on the top.
To view an Archived project, click the Show Archived option on the top. The archived project displays in the list along with an Archived label.
To Un-archive a project: