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Kubeflow pipeline on Vertex
Overview
Theses examples show the codes of KFP v2 with aiplatform SDK
- create endpoint
- train model
- deploy model
Requirements
- Python 3.8
- Vertex on Google Cloud Platform
Quickstart
- Compiler
- use python to compiler example.py to example.json
- Run
- Open Vertex on GCP
- Click 'Pipelines' and create run
- Click 'Upload file' to upload example.json
- Select bucket then submit
Cleanup
Following are optional to cleanup
- endpoint
- Click 'Online prediction'
- Click 'Actions' to delete endpoint
- model
- Click 'Model Registry'
- Click 'More' to delete model