Releases: aws/sagemaker-mlflow
Releases · aws/sagemaker-mlflow
Release list
v0.5.0
What's New
Features
-
Session injection for SigV4 signing — New
sagemaker_mlflow.use_session()andset_session()APIs allow callers to inject a custom boto3 Session for per-context credential injection. Thread-safe and asyncio-safe viacontextvars. (#25) -
Inference image logging — Added support for logging inference image information alongside
log_model, enabling deployment workflows that require image metadata. (#23) -
Python 3.12, 3.13, and 3.14 support — Expanded test matrix and added classifiers for Python 3.12, 3.13, and 3.14. (#27)
Full Changelog
v0.4.0
v0.3.0
What's Changed
- feat: add presigned URL upload support for S3 artifacts by @henishborad in #19
- feat: add workspace and scorer store plugins for MLflow 3.10.0 support by @rd-pong in #20
- Update VERSION and prepare for release by @rd-pong in #21
New Contributors
- @henishborad made their first contribution in #19
- @rd-pong made their first contribution in #20
Full Changelog: v0.2.0...v0.3.0
v0.2.0
What's Changed
- Support Cross-Account Sagemaker MLFlow access using assume_role_arn by @bweigel in #5
- Add support for SageMaker MLflow App resource type by @rrrkharse in #11
New Contributors
- @bweigel made their first contribution in #5
- @rrrkharse made their first contribution in #11
Full Changelog: v0.1.1...v0.2.0