https://github.com/rhecosystemappeng/ml-pipeline-importer-runner

Creates or uses an existing OpenShift AI data science pipeline, and run's it.
https://github.com/rhecosystemappeng/ml-pipeline-importer-runner

Last synced: over 1 year ago
JSON representation

Creates or uses an existing OpenShift AI data science pipeline, and run's it.

• Host: GitHub
• URL: https://github.com/rhecosystemappeng/ml-pipeline-importer-runner
• Owner: RHEcosystemAppEng
• Created: 2025-01-28T10:31:49.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-28T10:36:15.000Z (over 1 year ago)
• Last Synced: 2025-01-28T11:33:20.503Z (over 1 year ago)
• Language: Python
• Size: 4.88 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# ml-pipeline-importer-runner

Creates or uses an existing OpenShift AI data science pipeline, and run's it.

example for pipeline creation can be seen in this repo: [populate-vectors-pipeline](https://github.com/RHEcosystemAppEng/populate-vectors-pipeline)

## Mandatory Env Variables

#### `PIPELINE_YAML_RAW_URL`

Defines the **RAW** URL of the compiled KFP pipeline program.

## Optional Env Variables (with Defaults)

#### `PIPELINE_NAME`

Specifies the name of the pipeline.

Default Name: Default

#### `EXPERIMENT_NAME`

Specifies the name of the experiment.

Default Name: Default

#### `RUN_NAME`

Specifies the name of the run.

Default: 1

#### `PIPELINE_PARAMS`

Additional parameters for the pipeline in JSON dict string format.

Example: '{"load_from_repo": True, "load_from_s3": False, "load_from_urls": False}'