End to end example with prediction via REST API
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- gcp, google-cloud, python
- Domain
- api, cloud, documentation
Research direction
The issue names no files, tests, or entry points. Start by reviewing the library's deployment-management capabilities and any existing gcloud SDK or REST API examples; done means the requested end-to-end deployment and prediction workflow is implemented or documented with its scope clearly defined.
Written by the indexing model from the issue text.
Description
Requesting a feature:
Could you develop the library further for deployment management, or is it already in the roadmap,
nevertheless can an example workflow be added for deployment and support REST API via gcloud SDK management
as best practice ?
- Dominant language
- Python
- Stars
- 383
- Forks
- 93
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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