Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.41.0
Features
- add pipeline experiment config
- add data wrangler processor
- support RetryStrategy for training jobs
Bug Fixes and Other Changes
- fix repack pipeline step by putting inference.py in "code" sub dir
- add data wrangler image uri
- fix black-check errors
v2.40.0
Features
- add xgboost framework version 1.2-2
Bug Fixes and Other Changes
- fix get_execution_role on Studio
- [fix] Check py_version existence in RegisterModel step
Documentation Changes
- SM Distributed EFA Launch
v2.39.1
Bug Fixes and Other Changes
- RegisterModel step and custom dependency support
Documentation Changes
- reverting SageMaker distributed data parallel EFA doc updates
- adding new version, SM dist. data parallel 1.2.0.
- add current Hugging Face supported versions
- SMDDP 1.2.0 release notes
v2.39.0.post0
Testing and Release Infrastructure
- disable smdataparallel tests
v2.39.0
Features
- Add HF transformer version 4.5.0
Bug Fixes and Other Changes
- Allow hyperparameters in Tensorflow estimator to be parameterized
Testing and Release Infrastructure
- black format unit tests
v2.38.0
v2.37.0
Features
- add experiment_config for clarify processing job
Documentation Changes
- release notes for smdistributed.dataparallel v1.1.2
v2.36.0
Features
- enable smdataparallel custom mpi options support
v2.35.0
Features
- add support for PyTorch 1.8.1
Bug Fixes and Other Changes
- boto3 client param updated for feature store
- Updated release notes and API doc for smd model parallel 1.3.1
v2.34.0
Features
- Add support for accelerator in Clarify
Bug Fixes and Other Changes
- add Documentation for how to use
- enable local mode tests that were skipped
- add integ test for HuggingFace with TensorFlow
Documentation Changes
- release notes for smdistributed.dataparallel v1.1.1
- fixing the SageMaker distributed version references
Testing and Release Infrastructure
- pin version for ducutils