autogluon / autogluon/autogluon-cloud
Add support for sagemaker>=3.0
Open
- Dominant language
- Python
- Stars
- 42
- Forks
- 17
- PR merge metrics
- No merged PRs in 30d
Description
Currently the `SageMakerBackend` is closely tied to the API of SageMaker SDK v2.
We will need to implement a new backend (`SageMakerV3Backend`) that uses the v3 API and handles all the breaking changes.
Contributor guide
Research direction
Start by locating the existing SageMakerBackend and documenting which SageMaker SDK v2 API assumptions it contains. Use the SDK v3 API and its breaking changes as the implementation reference; done means a separate SageMakerV3Backend supports the v3 API.
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
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100