Oracle Cloud Infrastructure Documentation

About Projects

Learn how to work with your Data Science projects.

Projects are containers that enable you to organize your work. They contain a collection of notebook sessions and models.

Projects are managed using the Projects page, where you can:

  • Select a project to view its details and manage it. All notebook sessions and models in the project are listed.

  • Use the Actions menu to view project details, edit projects, move the project to another compartment, or delete the project.

  • Use the List Scope filter to view projects in another compartment.

  • Filter projects by status using the Project State list. The default is to view all status types.

  • When there are tags applied to projects, you can further filter projects by clicking add or clear next to Tag Filters.

Creating Projects

You create a Data Science project to organize your notebook sessions and models.

  1. Sign in to a tenancy using the Console with the necessary policies.
  2. Open the navigation menu and click Analytics & AI. Under Machine Learning, click Data Science.
  3. Click Create Project.
  4. Select the compartment you want to add the project to.
  5. (Optional) Enter a unique name (255 character limit) for the project. If you don't provide a name, a name is automatically generated for you. For example, datascienceproject20200108222435.
  6. (Optional) Enter a description (400 character limit) for the project. If you don't add a description, it remains empty.
  7. (Optional) Add tags to easily locate and track the resource by selecting a tag namespace, then entering the key and value. To add more than one tag, click +Additional Tags.

    Tagging describes the various tags that you can use organize and find resources including cost-tracking tags.

  8. (Optional) To view the details for your project immediately after creation, select View detail page on clicking create

After you successfully create a project, you can create notebook sessions and models and associate them with the project. You and your collaborators can then organize and document your data science work within the projects.

Viewing Project Details

To open a project's detail page, you can click the project's name or the Actions button (three dots), and click View Details.

From the Project Information tab, you can view these details:

Description:

A description of the project is one was defined.

OCID

A shortened version of the OCID is displayed. You can use the Show and Hide links to toggle the display of the full OCID. Use the Copy link to save the entire OCID to your clipboard to paste it elsewhere. For example, you could paste into a file and save it, then use it in your model scripts.

Created On:

The date and time when the project was created.

Created By:

A shortened version of the OCID user that created the project. You can use the Show and Hide links to toggle the display of the full OCID user. Use the Copy link to save the entire OCID user to your clipboard to paste it elsewhere. For example, you could paste into other Data Science dialogs.

From the Tags tab, you can view the tags that have been applied to the project. To update or remove a tag, find the tag you want and click the pencil button next to it. Enter the new tag then save it or remove the tag by clicking Remove Tag.

Editing Projects

You can click the project's name or the Actions menu, then click Edit to change the name and description of the project.

Applying Tags to Projects

You can click the project's name or the Actions menu, and click Add Tags. You can apply both defined and free form tags, see Working with Resource Tags.

Moving Projects

You can move a project from its current compartment to a different one. Moving a project does not move any of its notebook sessions or models to the new compartment.

For example, you may want to move a project to promote it from a development compartment to production compartment, or you could change the visibility of the project.

You can click the project's name or the Actions menu, and click Move resource. Select the destination compartment and click Move Resource.

Deleting Projects

To delete a project, it cannot be associated with any Data Science resources. Before you can start to delete a project, you must first delete the notebook session and models associated with the project.

You can click the project's name or the Actions menu, and click Delete to delete a project.

Enter the name exactly as it appears because it's case-sensitive, then click Delete.

The state of the project becomes "deleting" during the delete project operation. The service checks for the absence of associated resources. If successful, the project status is updated to deleted.

The delete project action is asynchronous and initiates a work request. You can use the work request to track the status of an operation. For general information about using work requests in OCI, see Work Requests and the Work Requests API.

Note

Deleted projects exist in lists for 30 days after being deleted. You can filter them out of lists using the State filter.