tensorflow / tensorflow/cloud

End to end example with prediction via REST API

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enhancement
Dominant language
Python
Stars
383
Forks
93
Avg merge
1d 3h
Merged PRs (30d)
1

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 ?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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.

Assessment

Tech stack
gcp, google-cloud, python
Domain
api, cloud, documentation
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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