Feedback PR #10
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Feedback PR #10
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This adds an MLOps Manager that may be used to create simple vertex AI applications. Key additions: * `mlops_manager start_app` command * `hello_pipeline` example pipeline * cloud build config in `config/build/cloudbuild.yaml`
fashion-mnist classifier pipeline that can be invoked via cloud build
- build_pipeline command to build pipeline from config
- PipelineRunner to encapsulate pipeline management logic
- first tests for PipelineRunner
- tests throw warnings that I cannot replicate when invoking by
command. Currently confused as to why.
- run_pipeline command and runner function - update run_pipeline.yaml cloud build config
- naming refactor - fashion_mnist uses app image - pipeline runner renamed to harness - Remove dependency of docker image on sdist for speed - Vertex custom training job
- create new pipelines template - improve templating logic to be more extensible
Give existing examples a more regular format.
- Add standalone task decorator. - task decorator that can be used to quickly annotate trainer tasks - add pylintrc (not yet conformant) - convert fashion_mnist trainer task to use decorator - implement build, release, and deploy configs for cloud build
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This is a mega-PR of all of my work so far. Please feel free to provide feedback in the form of both thread comments and inline code comments. All feedback will be considered and responded to. While reviewing, please consider the following questions:
I will integrate requested changes into the feedback branch, and coordinate with participants until we reach a point where designated reviewers have provided their LGTM.