nikenano/Manage Kubeflow Pipelines on GCP.
Build, deploy and run a Kubeflow Pipeline on Google Cloud Platform.
View on GitHubTrust Signals
- Scorecard Score
- not yet scored
- Maintenance Recency
- Stale
- License
- None
Inputs
| name | description | required | default |
|---|---|---|---|
| KUBEFLOW_URL | The endpoint where your Kubeflow UI is running. | yes | — |
| CLIENT_ID | The IAP client id, which was specified when the kubeflow deployment where setup using IAP. | — | — |
| PIPELINE_CODE_PATH | The full path name including the filename of the python file that describes the pipeline you want to run on Kubeflow. This should be relative to the root of the GitHub repository where the Action is triggered. | — | — |
| PIPELINE_FUNCTION_NAME | The name of the pipeline, this name will be the name of the pipeline in the Kubeflow UI. | — | — |
| ENCODED_GOOGLE_APPLICATION_CREDENTIALS | The base64 encoded google credentials | yes | — |
| GOOGLE_APPLICATION_CREDENTIALS | The path to the decoded google credentials | yes | — |
| EXPERIMENT_NAME | The name of the experiment name within which the kubeflow experiment should run | no | — |
| PIPELINE_NAMESPACE | The namespace in which the pipeline should run | no | — |
| RUN_PIPELINE | Should github action also trigger the pipeline | no | — |
| VERSION_GITHUB_SHA | Should github action also trigger the pipeline | no | — |
Outputs
| name | description |
|---|---|
| WORKFLOW_URL | URL that is a link to pipeline in Kubeflow |