Set Project Defaults
You can set defaults for your project’s pipelines from the Console UI that are passed down to all pipeline specs. These defaults provide a consistent experience for your data scientists and help manage your project.
Before You Start #
- You must have a running HPE Machine Learning Data Management cluster and access to the Console UI, either locally our via IdP
- Read the Global Config for information about Cluster Defaults
How to Set Project Defaults #
- Log in to Console
- Navigate to the Project Dashboard homepage.
- Scroll to the project you wish to add defaults to and select View Project.
- Select Project Defaults from the sidebar.
- Input your desired default Pipeline Specification (PPS) settings in JSON format.
{ "createPipelineRequest": { "resourceRequests": { "cpu": 1, "memory": "256Mi", "disk": "1Gi" }, "sidecarResourceRequests": { "cpu": 1, "memory": "256Mi", "disk": "10Gi" } } }
- Optionally select the Prettify button to make the JSON more readable.
- Select Continue.
- Choose from one of the following options:
- Save Project Defaults
- Only new and edited pipelines apply the new defaults
- No pipeline regeneration or datum reprocessing occurs
- Save Project Defaults and Regenerate Pipelines
- Only pipelines with impacted specs are regenerated
- Previously processed datums are not reprocessed
- Save Project Defaults, Regenerate Pipelines, and Reprocess Datums
- Only pipelines with impacted specs are regenerated
- Previously processed datums are reprocessed
- Save Project Defaults
- Select Save.
How to View Project Defaults Applied to a Pipeline #
In addition to viewing Project Defaults directly from the sidebar inside a project, you can also view them from a pipeline.
- Log in to Console.
- Scroll to a project you wish to inspect and select View Project.
- Select a pipeline from the DAG.
- Select the Pipeline Actions dropdown and choose Update Pipeline
- Select the Project Defaults tab.
Tip