Deploy the KFP ML Pipeline from CLI.
Project description
kfp-deployer
Deploy your ml-pipeline with kfp-deploy
from cli.
How to use
kfp-deploy https://your-kubeflow-host/ "pipeline-name" ./pipeline_file.yaml
for more detail, see kfp-deploy -h
.
what the difference from kfp pipeline upload
?
Kubeflow Pipelines requires the all pipelines must have unique names.
Otherwise you have to use update the version
instead of upload the pipeline
.
Furthermore, you have to use unique name when uploading the new version of pipeline.
This command does everything required in the upload process for you. This command will communicate with kfp host and automatically determine whether update or upload is required and perform it. Furthermore, the version string is automatically generated based on the upload timestamp.
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