rstudio / rstudio/vetiver-python
add SageMaker support
Open
Nobody has claimed this yet.
deploy
enhancement
- Dominant language
- Python
- Stars
- 71
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
Description
Things to think about for SageMaker support (related to https://github.com/rstudio/vetiver-r/issues/64)
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Contributor guide
No contributing guide indexed for this repository
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.
Research direction
No files, tests, or entry points are named. Start by reading the related vetiver-r issue #64 and reviewing the repository's existing deployment support; clarify which SageMaker workflows are in scope and define acceptance criteria before implementation can begin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100